大葉大學圖書館 |

Works:	330 works in 195 publications in 195 languages

Titles

Making sense of data IIa practical approach to data visualization, advanced data mining methods, and applications by: (Language materials, printed)

Business intelligencedata mining and optimization for decision making by: (Language materials, printed)

Web data mining :exploring hyperlinks, contents, and usage data / by: (Language materials, printed)

Adaptive web sites[electronic resource] :a knowledge extraction from web data approach / by: (Language materials, printed)

Text mining techniques for healthcare provider quality determination[electronic resource] :methods for rank comparisons / by: (Language materials, printed)

Business modeling and data mining[electronic resource] / by: (Language materials, printed)

Data preparation for data mining using SAS[electronic resource] / by: (Language materials, printed)

Microsoft SQL Server 2008 R2 analytics & data visualization / by: (Language materials, printed)

Data mining and predictive analysis[electronic resource] :intelligence gathering and crime analysis / by: (Language materials, printed)

Fuzzy modeling and genetic algorithms for data mining and exploration[electronic resource] / by: (Language materials, printed)

Java data mining[electronic resource] :strategy, standard, and practice : a practical guide for architecture, design, and implementation / by: (Language materials, printed)

Data mining and market intelligence for optimal marketing returns[electronic resource] / by: (Language materials, printed)

Recent trends in information reuse and integration[electronic resource] / by: (Language materials, printed)

Data mining.[electronic resource] :foundations and intelligent paradigms /Volume 2,Statistical, bayesian, time series and other theoretical aspects by: (Language materials, printed)

Data mining.[electronic resource] :foundations and intelligent paradigms /Volume 1,Clustering, association and classification by: (Language materials, printed)

Dark web[electronic resource] :exploring and data mining the dark side of the web / by: (Language materials, printed)

Introduction to data mining for the life sciences[electronic resource] / by: (Language materials, printed)

Analysis of rare categories[electronic resource] / by: (Language materials, printed)

Data mining.[electronic resource] :foundations and intelligent paradigms /Volume 3,Medical, health, social, biological and other applications by: (Language materials, printed)

Transactions on large-scale data- and knowledge-centered systems V[electronic resource] / by: (Language materials, printed)

Reliable knowledge discovery[electronic resource] / by: (Language materials, printed)

Mining text data[electronic resource] / by: (Language materials, printed)

Event-driven surveillance[electronic resource] :possibilities and challenges / by: (Language materials, printed)

Advances in knowledge discovery and management.[electronic resource] /Volume 2 by: (Language materials, printed)

Data mining for biomarker discovery[electronic resource] / by: (Language materials, printed)

Spatial AutoRegression (SAR) model[electronic resource] :parameter estimation techniques / by: (Language materials, printed)

Mining for strategic competitive intelligence[electronic resource] :foundations and applications / by: (Language materials, printed)

Integration of information and optimization models for routing in city logistics[electronic resource] / by: (Language materials, printed)

Data fusion in information retrieval[electronic resource] / by: (Language materials, printed)

Intelligent data analysis for real-life applications[electronic resource] :theory and practice / by: (Language materials, printed)

Next generation search engines[electronic resource] :advanced models for information retrieval / by: (Language materials, printed)

Exploring advances in interdisciplinary data mining and analytics[electronic resource] :new trends / by: (Language materials, printed)

Social network mining, analysis, and research trends[electronic resource] :techniques and applications / by: (Language materials, printed)

XML data mining[electronic resource] :models, methods, and applications / by: (Language materials, printed)

Evolving application domains of data warehousing and mining[electronic resource] :trends and solutions / by: (Language materials, printed)

Data mining applications for empowering knowledge societies[electronic resource] / by: (Language materials, printed)

Data mining to determine risk in medical decisions[electronic resource] / by: (Language materials, printed)

Data Mining[electronic resource] :Concepts and Techniques. by: (Language materials, printed)

Data mining[electronic resource] :practical machine learning tools and techniques. by: (Language materials, printed)

Design and implementation of data mining tools[electronic resource] / by: (Language materials, printed)

Data mining for design and marketing[electronic resource] / by: (Language materials, printed)

Next generation of data mining[electronic resource] / by: (Language materials, printed)

The top ten algorithms in data mining[electronic resource] / by: (Language materials, printed)

Temporal data mining[electronic resource] / by: (Language materials, printed)

Understanding complex datasets[electronic resource] :data mining with matrix decompositions / by: (Language materials, printed)

Multimedia data mining[electronic resource] :a systematic introduction to concepts and theory / by: (Language materials, printed)

Machine interpretation of patterns[electronic resource] :image analysis and data mining / by: (Language materials, printed)

Nonlinear integrals and their applications in data mining[electronic resource] / by: (Language materials, printed)

Knowledge mining using intelligent agents[electronic resource] / by: (Language materials, printed)

Foundations of rule learning[electronic resource] / by: (Language materials, printed)

Matrix methods in data mining and pattern recognition[electronic resource] / by: (Language materials, printed)

Scientific data mining[electronic resource] :a practical perspective / by: (Language materials, printed)

Oracle Information integration, migration, and consolidation[electronic resource] :the definitive guide to information integration and migration in a heterogeneous world : use Oracle technologies and best practices to manage, maintain, migrate, and mobilize data / by: (Language materials, printed)

Web crawling[electronic resource] / by: (Language materials, printed)

Data mining and applications in genomics[electronic resource] / by: (Language materials, printed)

Advances in computational algorithms and data analysis[electronic resource] / by: (Language materials, printed)

Scientific data mining and knowledge discovery[electronic resource] :principles and foundations / by: (Language materials, printed)

Data mining techniques in grid computing environments[electronic resource] / by: (Language materials, printed)

Computational framework for knowledge[electronic resource] :integrated behavior of machines / by: (Language materials, printed)

Mining the biomedical literature[electronic resource] / by: (Language materials, printed)

Data mining[electronic resource] :concepts, methodologies, tools, and applications / by: (Language materials, printed)

Developments in data extraction, management, and analysis[electronic resource] / by: (Language materials, printed)

Rare association rule mining and knowledge discovery[electronic resource] :technologies for infrequent and critical event detection / by: (Language materials, printed)

Diagnostic test approaches to machine learning and commonsense reasoning systems[electronic resource] / by: (Language materials, printed)

Information retrieval methods for multidisciplinary applications[electronic resource] / by: (Language materials, printed)

Cases on health outcomes and clinical data mining[electronic resource] :studies and frameworks / by: (Language materials, printed)

Advancing information management through Semantic Web concepts and ontologies[electronic resource] / by: (Language materials, printed)

Social media mining and social network analysis[electronic resource] :emerging research / by: (Language materials, printed)

Practical text mining and statistical analysis for non-structured text data applications[electronic resource] / by: (Language materials, printed)

R and data mining[electronic resource] :examples and case studies / by: (Language materials, printed)

Data insights[electronic resource] :new ways to visualize and make sense of data / by: (Language materials, printed)

Biological data mining[electronic resource] / by: (Language materials, printed)

Constrained clustering[electronic resource] :advances in algorithms, theory, and applications / by: (Language materials, printed)

Data mining for global trends in mountain biodiversity[electronic resource] / by: (Language materials, printed)

Geographic data mining and knowledge discovery[electronic resource] / by: (Language materials, printed)

Privacy-aware knowledge discovery[electronic resource] :novel applications and new techniques / by: (Language materials, printed)

Statistical data mining using SAS applications[electronic resource] / by: (Language materials, printed)

Data clustering in C++[electronic resource] :an object-oriented approach / by: (Language materials, printed)

Biologically-inspired techniques for knowledge discovery and data mining / by: (Language materials, printed)

Clinical data mining for physician decision making and investigating health outcomes[electronic resource] :methods for prediction and analysis / by: (Language materials, printed)

Data mining and analysis in the engineering field / by: (Language materials, printed)

Data mining in dynamic social networks and fuzzy systems[electronic resource] / by: (Language materials, printed)

Research and development in e-business through service-oriented solutions[electronic resource] / by: (Language materials, printed)

Data mining and knowledge discovery for geoscientists[electronic resource] / by: (Language materials, printed)

Predictive analytics, data mining and big data :myths, misconceptions and methods / by: (Language materials, printed)

Data mining for managers[electronic resource] :how to use data (big and small) to solve business challenges / by: (Language materials, printed)

Music data mining[electronic resource] / by: (Language materials, printed)

Data mining and machine learning in cybersecurity[electronic resource] / by: (Language materials, printed)

Data mining tools for malware detection[electronic resource] / by: (Language materials, printed)

Data mining in drug discovery[electronic resource] / by: (Language materials, printed)

Business analytics and data mining with R[electronic resource] / by: (Language materials, printed)

State of the art applications of social network analysis[electronic resource] / by: (Language materials, printed)

Big data[electronic resource] :related technologies, challenges and future prospects / by: (Language materials, printed)

Querying over encrypted data in smart grids[electronic resource] / by: (Language materials, printed)

Algorithms and dynamical models for communities and reputation in social networks[electronic resource] / by: (Language materials, printed)

Frequent pattern mining[electronic resource] / by: (Language materials, printed)

Interactive knowledge discovery and data mining in biomedical informatics[electronic resource] :state-of-the-art and future challenges / by: (Language materials, printed)

Data science for business :[what you need to know about data mining and data-analytic thinking] / by: (Language materials, printed)

Sentiment analysis and opinion mining[electronic resource] / by: (Language materials, printed)

Randomized algorithms in automatic control and data mining[electronic resource] / by: (Language materials, printed)

Data preprocessing in data mining[electronic resource] / by: (Language materials, printed)

Real world data mining applications[electronic resource] / by: (Language materials, printed)

Advances in knowledge discovery in databases[electronic resource] / by: (Language materials, printed)

Big data and analytics[electronic resource] :strategic and organizational impacts / by: (Language materials, printed)

Recommendation and search in social networks[electronic resource] / by: (Language materials, printed)

Mapping urban practices through mobile phone data[electronic resource] / by: (Language materials, printed)

Developing churn models using data mining techniques and social network analysis / by: (Language materials, printed)

Integration of data mining in business intelligence systems / by: (Language materials, printed)

Handbook of research on organizational transformations through big data analytics / by: (Language materials, printed)

Healthcare informatics and analytics :emerging issues and trends / by: (Language materials, printed)

Big data analytics in bioinformatics and healthcare / by: (Language materials, printed)

Data mining with decision trees[electronic resource] :theory and applications / by: (Language materials, printed)

Data mining for geoinformatics[electronic resource] :methods and applications / by: (Language materials, printed)

Data mining techniques in sensor networks[electronic resource] :summarization, interpolation and surveillance / by: (Language materials, printed)

Data mining and knowledge discovery for big data[electronic resource] :methodologies, challenge and opportunities / by: (Language materials, printed)

Pocket data mining[electronic resource] :big data on small devices / by: (Language materials, printed)

Twitter data analytics[electronic resource] / by: (Language materials, printed)

Intelligent strategies for pathway mining[electronic resource] :model and pattern identification / by: (Language materials, printed)

Citizen in sensor networks[electronic resource] :second international workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013 : revised selected papers / by: (Language materials, printed)

Data analysis and pattern recognition in multiple databases[electronic resource] / by: (Language materials, printed)

Soft computing for business intelligence[electronic resource] / by: (Language materials, printed)

Social interaction, globalization and computer-aided analysis[electronic resource] :a practical guide to developing social simulation / by: (Language materials, printed)

Large-scale data analytics[electronic resource] / by: (Language materials, printed)

Data mining for service[electronic resource] / by: (Language materials, printed)

Proactive data mining with decision trees[electronic resource] / by: (Language materials, printed)

Visualizing the data city[electronic resource] :social media as a source of knowledge for urban planning and management / by: (Language materials, printed)

Mathematical tools for data mining[electronic resource] :set theory, partial orders, combinatorics / by: (Language materials, printed)

Transactions on large-scale data- and knowledge-centered systems XIII[electronic resource] / by: (Language materials, printed)

Social networking[electronic resource] :mining, visualization, and security / by: (Language materials, printed)

Commercial data mining[electronic resource] :processing, analysis and modeling for predictive analytics projects / by: (Language materials, printed)

Quantum machine learning[electronic resource] :what quantum computing means to data mining / by: (Language materials, printed)

Multimedia information extraction[electronic resource] :advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring / by: (Language materials, printed)

Making sense of data I[electronic resource] :a practical guide to exploratory data analysis and data mining / by: (Language materials, printed)

Visual data mining[electronic resource] :the VisMiner approach / by: (Language materials, printed)

Discovering knowledge in data[electronic resource] :an introduction to data mining / by: (Language materials, printed)

Crowdsourcing for speech processing[electronic resource] :applications to data collection, transcription and assessment / by: (Language materials, printed)

Intelligent knowledge[electronic resource] :a study beyond data mining / by: (Electronic resources)

Process mining techniques in business environments[electronic resource] :theoretical aspects, algorithms, techniques and open challenges in process mining / by: (Electronic resources)

Factors driving social network site usage[electronic resource] / by: (Language materials, printed)

Fundamentals of business intelligence[electronic resource] / by: (Language materials, printed)

Advances in social media analysis[electronic resource] / by: (Language materials, printed)

Data-driven optimization and knowledge discovery for an enterprise information system[electronic resource] / by: (Language materials, printed)

Serious games analytics[electronic resource] :methodologies for performance measurement, assessment, and improvement / by: (Language materials, printed)

Operators for similarity search[electronic resource] :semantics, techniques and usage scenarios / by: (Language materials, printed)

Python data analytics[electronic resource] :data analysis and science using Pandas, matplotlib, and the Python programming language / by: (Language materials, printed)

Fundamentals of predictive text mining[electronic resource] / by: (Language materials, printed)

Feature selection for high-dimensional data[electronic resource] / by: (Language materials, printed)

Engineering applications of neural networks[electronic resource] :16th International Conference, EANN 2015, Rhodes, Greece, September 25-28, 2015 : proceedings / by: (Language materials, printed)

Knowledge discovery, knowledge engineering and knowledge management[electronic resource] :6th International Joint Conference, IC3K 2014, Rome, Italy, October 21-24, 2014 : revised selected papers / by: (Language materials, printed)

Data management technologies and applications[electronic resource] :Third International Conference, DATA 2014, Vienna, Austria, August 29-31, 2014 : revised selected papers / by: (Language materials, printed)

Social media processing[electronic resource] :4th National Conference, SMP 2015, Guangzhou, China, November 16-17, 2015 : proceedings / by: (Language materials, printed)

Discovery science[electronic resource] :18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings / by: (Language materials, printed)

Algorithmic learning theory[electronic resource] :26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings / by: (Language materials, printed)

Case-based reasoning research and development[electronic resource] :23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015 : proceedings / by: (Language materials, printed)

Intelligent data engineering and automated learning - IDEAL 2015[electronic resource] :16th International Conference Wroclaw, Poland, October 14-16, 2015 : proceedings / by: (Language materials, printed)

Machine learning in medical imaging[electronic resource] :6th International Workshop, MLMI 2015, held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015 : proceedings / by: (Language materials, printed)

Open and big data management and innovation[electronic resource] :14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Delft, The Netherlands, October 13-15, 2015 : proceedings / by: (Language materials, printed)

Foundations of Intelligent Systems[electronic resource] :22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015 : proceedings / by: (Language materials, printed)

Conceptual modeling[electronic resource] :34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015 : proceedings / by: (Language materials, printed)

Advances in neural networks - ISNN 2015[electronic resource] :12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015 : proceedings / by: (Language materials, printed)

Trends and applications in knowledge discovery and data mining[electronic resource] :PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015 : revised selected papers / by: (Language materials, printed)

Rough sets, fuzzy sets, data mining, and granular computing[electronic resource] :15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015 : proceedings / by: (Language materials, printed)

Statistical language and speech processing[electronic resource] :third International Conference, SLSP 2015, Budapest, Hungary, November 24-26, 2015 : proceedings / by: (Language materials, printed)

Multi-disciplinary trends in artificial intelligence[electronic resource] :9th International Workshop, MIWAI 2015, Fuzhou, China, November 13-15, 2015 : proceedings / by: (Language materials, printed)

Web information systems engineering - WISE 2015[electronic resource] :16th International Conference, Miami, FL, USA, November 1-3, 2015 : proceedings.Part II / by: (Language materials, printed)

Web information systems engineering - WISE 2015[electronic resource] :16th International Conference, Miami, FL, USA, November 1-3, 2015 : proceedings.Part I / by: (Language materials, printed)

Big data analytics[electronic resource] :4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015 : proceedings / by: (Language materials, printed)

Clustering high-dimensional data[electronic resource] :first International Workshop, CHDD 2012, Naples, Italy, May 15, 2012 : revised selected papers / by: (Language materials, printed)

Advances in statistical models for data analysis[electronic resource] / by: (Language materials, printed)

Sentic computing[electronic resource] :a common-sense-based framework for concept-level sentiment analysis / by: (Language materials, printed)

Analysis of images, social networks and texts[electronic resource] :4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9-11, 2015 : revised selected papers / by: (Language materials, printed)

Text analysis pipelines[electronic resource] :towards ad-hoc large scale text mining / by: (Language materials, printed)

Social informatics[electronic resource] :7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015 : proceedings / by: (Language materials, printed)

Big data analytics with Spark[electronic resource] :a practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing / by: (Language materials, printed)

Data mining for social robotics[electronic resource] :toward autonomously social robots / by: (Language materials, printed)

Spatial data mining[electronic resource] :theory and application / by: (Language materials, printed)

Learning analytics in R with SNA, LSA, and MPIA[electronic resource] / by: (Language materials, printed)

Knowledge transfer between computer vision and text mining[electronic resource] :similarity-based learning approaches / by: (Language materials, printed)

Process mining[electronic resource] :data science in action / by: (Language materials, printed)

Business intelligence[electronic resource] :5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015 : tutorial lectures / by: (Language materials, printed)

Situation recognition using EventShop[electronic resource] / by: (Language materials, printed)

Post, mine, repeat[electronic resource] :social media data mining becomes ordinary / by: (Language materials, printed)

Search techniques in intelligent classification systems[electronic resource] / by: (Language materials, printed)

Managing big data integration in the public sector[electronic resource] / by: (Language materials, printed)

Contemporary research methods and data analytics in the news industry[electronic resource] / by: (Language materials, printed)

Developing effective educational experiences through learning analytics[electronic resource] / by: (Language materials, printed)

Challenges in computational statistics and data mining[electronic resource] / by: (Language materials, printed)

Application of data mining techniques in the analysis of indoor hygrothermal conditions[electronic resource] / by: (Language materials, printed)

Programmatic advertising[electronic resource] :the successful transformation to automated, data-driven marketing in real-time / by: (Language materials, printed)

Prominent feature extraction for sentiment analysis[electronic resource] / by: (Language materials, printed)

Learning from data streams in dynamic environments[electronic resource] / by: (Language materials, printed)

Big data analysis[electronic resource] :new algorithms for a new society / by: (Language materials, printed)

Pro salesforce analytics cloud[electronic resource] :a guide to wave platform, builder, and explorer / by: (Language materials, printed)

Business project management and marketing[electronic resource] :mastering business markets / by: (Language materials, printed)

Link prediction in social networks[electronic resource] :role of power law distribution / by: (Language materials, printed)

Private data and public value[electronic resource] :governance, green consumption, and sustainable supply chains / by: (Language materials, printed)

Advances in machine learning and data mining for astronomy[electronic resource] / by: (Language materials, printed)

Applied data mining[electronic resource] / by: (Language materials, printed)

Big data and business analytics[electronic resource] / by: (Language materials, printed)

Big data computing[electronic resource] / by: (Language materials, printed)

Big data, mining, and analytics[electronic resource] :components of strategic decision making / by: (Language materials, printed)

Data mining for bioinformatics[electronic resource] / by: (Language materials, printed)

Data mining mobile devices[electronic resource] / by: (Language materials, printed)

Spectral feature selection for data mining[electronic resource] / by: (Language materials, printed)

Decoding the city[electronic resource] :urbanism in the age of big data / by: (Language materials, printed)

Text mining of web-based medical content[electronic resource] / by: (Language materials, printed)

Data mining for bioinformatics applications[electronic resource] / by: (Electronic resources)

Data mining and predictive analysis[electronic resource] :intelligence gathering and crime analysis / by: (Electronic resources)

Statistics for food scientists[electronic resource] :making sense of the numbers / by: (Electronic resources)

The art and science of analyzing software data[electronic resource] / by: (Electronic resources)

Improving the user experience through practical data analytics[electronic resource] :gain meaningful insight and increase your bottom line / by: (Electronic resources)

Data analysis in the cloud[electronic resource] :models, techniques and applications / by: (Electronic resources)

Business information systems[electronic resource] :19th International Conference, BIS 2016, Leipzig, Germany, July, 6-8, 2016 : proceedings / by: (Electronic resources)

Enterprise, business-process and information systems modeling[electronic resource] :17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, held at CAiSE 2016, Ljubljana, Slovenia, June 13-14, 2016 : proceedings / by: (Electronic resources)

Pattern mining with evolutionary algorithms[electronic resource] / by: (Electronic resources)

Data mining with SPSS modeler[electronic resource] :theory, exercises and solutions / by: (Electronic resources)

Quantifying aesthetics of visual design applied to automatic design[electronic resource] / by: (Electronic resources)

Data mining algorithms[electronic resource] :explained using R / by: (Electronic resources)

Data science & big data analytics[electronic resource] :discovering, analyzig, visualizing, and presenting data / by: (Electronic resources)

Fraud and fraud detection[electronic resource] :a data analytics approach / by: (Electronic resources)

Games with a Purpose (GWAPS)[electronic resource] / by: (Electronic resources)

Too big to ignore[electronic resource] :the business case for big data / by: (Electronic resources)

Big data analytics[electronic resource] :turning big data into big money / by: (Electronic resources)

Taming the big data tidal wave[electronic resource] :finding opportunities in huge data streams with advanced analytics / by: (Electronic resources)

Data mining and machine learning in building energy analysis[electronic resource] / by: (Electronic resources)

Designing knowledge management-enabled business strategies[electronic resource] :a top-down approach / by: (Electronic resources)

Data analytics[electronic resource] :models and algorithms for intelligent data analysis / by: (Electronic resources)

Anticipating future innovation pathways through large data analysis[electronic resource] / by: (Electronic resources)

Fundamentals of machine learning for predictive data analytics :algorithms, worked examples, and case studies / by: (Language materials, printed)

Project management analytics :a data-driven approach to making rational and effective project decisions / by: (Language materials, printed)

Disruptive analytics[electronic resource] :charting your strategy for next-generation business analytics / by: (Electronic resources)

Spatio-temporal data streams[electronic resource] / by: (Electronic resources)

Cognitive (internet of) things[electronic resource] :collaboration to optimize action / by: (Electronic resources)

Fuzziness in information systems[electronic resource] :how to deal with crisp and fuzzy data in selection, classification, and summarization / by: (Electronic resources)

Healthcare and big data[electronic resource] :digital specters and phantom objects / by: (Electronic resources)

Intelligent techniques for data science[electronic resource] / by: (Electronic resources)

Big data analytics in genomics[electronic resource] / by: (Electronic resources)

Network analysis literacy[electronic resource] :a practical approach to the analysis of networks / by: (Electronic resources)

Social informatics[electronic resource] :8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016 : proceedings.Part II / by: (Electronic resources)

Social informatics[electronic resource] :8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016 : proceedings.Part I / by: (Electronic resources)

Fundamentals of big data :network analysis for research and industry / by: (Language materials, printed)

Big data MBA :driving business strategies with data science / by: (Language materials, printed)

Big data management and processing / by: (Language materials, printed)

Learning social media analytics with R :transform data from social media platforms into actionable insights / by: (Language materials, printed)

Learning analytics explained / by: (Language materials, printed)

Predictive analytics with TensorFlow :implement deep learning principles to predict valuable insights using TensorFlow / by: (Language materials, printed)

Python for data analysis :data wrangling with Pandas, NumPy, and IPython / by: (Language materials, printed)

The SAGE handbook of social media research methods / by: (Language materials, printed)

Python data science handbook :essential tools for working with data / by: (Language materials, printed)

Data analytics :insiders guide to master data analytics / by: (Language materials, printed)

A practical guide to analytics for governments :using big data for good / by: (Language materials, printed)

A practical guide to sentiment analysis / by: (Language materials, printed)

Principles of data mining[electronic resource] / by: (Language materials, printed)

Conformance checking and diagnosis in process mining[electronic resource] :comparing observed and modeled processes / by: (Language materials, printed)

Text analytics with Python[electronic resource] :a practical real-world approach to gaining actionable insights from your data / by: (Language materials, printed)

Data mining and constraint programming[electronic resource] :foundations of a cross-disciplinary approach / by: (Language materials, printed)

Machine learning, optimization, and big data[electronic resource] :second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016 : revised selected papers / by: (Language materials, printed)

Big data[electronic resource] :algorithms, analytics, and applications / by: (Language materials, printed)

Big data analytics[electronic resource] :a practical guide for managers / by: (Language materials, printed)

Social big data mining[electronic resource] / by: (Language materials, printed)

Handbook of research on advanced data mining techniques and applications for business intelligence[electronic resource] / by: (Language materials, printed)

Applied big data analytics in operations management[electronic resource] / by: (Language materials, printed)

Enterprise big data engineering, analytics, and management[electronic resource] / by: (Language materials, printed)

Collaborative filtering using data mining and analysis[electronic resource] / by: (Language materials, printed)

Social media data extraction and content analysis[electronic resource] / by: (Language materials, printed)

Data mining trends and applications in criminal science and investigations[electronic resource] / by: (Language materials, printed)

Marketing data science :modeling techniques in predictive analytics with R and Python / by: (Language materials, printed)

Research and development in knowledge discovery and data mining[electronic resource] :Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998 : proceedings / by: (Electronic resources)

Methodologies for knowledge discovery and data mining[electronic resource] :Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999 : proceedings / by: (Electronic resources)

Data mining for genomics and proteomics :analysis of gene and protein expression data / by: (Language materials, printed)

Data clustering[electronic resource] :algorithms and applications / by: (Electronic resources)

Pattern recognition and big data[electronic resource] / by: (Electronic resources)

Discovery and fusion of uncertain knowledge in data[electronic resource] / by: (Electronic resources)

Data mining in time series and streaming databases[electronic resource] / by: (Electronic resources)

Statistical data science[electronic resource] / by: (Electronic resources)

Network data mining and analysis[electronic resource] / by: (Electronic resources)

Data science and analytics with Python[electronic resource] / by: (Electronic resources)

Feature engineering for machine learning and data analytics[electronic resource] / by: (Electronic resources)

Sentiment analysis[electronic resource] :mining opinions, sentiments, and emotions / by: (Electronic resources)

Behind every good decision[electronic resource] :how anyone can use business analytics to turn data into profitable insight / by: (Electronic resources)

Big mechanisms in systems biology :big data mining, network modeling, and genome-wide data identification / by: (Electronic resources)

Data simplification :taming information with open source tools / by: (Electronic resources)

Mining structures of factual knowledge from text :an effort-light approach / by: (Electronic resources)

Data profiling / by: (Electronic resources)

Argumentation mining / by: (Electronic resources)

Individual and collective graph mining :principles, algorithms, and applications / by: (Electronic resources)

Mining structures of factual knowledge from text :an effort-light approach / by: (Electronic resources)

Data profiling / by: (Electronic resources)

Argumentation mining / by: (Electronic resources)

Individual and collective graph mining :principles, algorithms, and applications / by: (Electronic resources)

Web data mining and the development of knowledge-based decision support systems[electronic resource] / by: (Electronic resources)

Improving e-commerce web applications through business intelligence techniques[electronic resource] / by: (Electronic resources)

Social network analytics for contemporary business organizations[electronic resource] / by: (Electronic resources)

Enhancing knowledge discovery and innovation in the digital era[electronic resource] / by: (Electronic resources)

Modern technologies for big data classification and clustering[electronic resource] / by: (Electronic resources)

Big data[electronic resource] :concepts, methodologies, tools, and applications / by: (Electronic resources)

Big data analytics in HIV/AIDS research[electronic resource] / by: (Electronic resources)

Big data management and the Internet of things for improved health systems[electronic resource] / by: (Electronic resources)

Recent advances in intelligent technologies and information systems[electronic resource] / by: (Electronic resources)

Semantic data mining[electronic resource] :an ontology-based approach / by: (Language materials, printed)

Automatic cyberbullying detection[electronic resource] :emerging research and opportunities / by: (Electronic resources)

Techno-social systems for modern economical and governmental infrastructures[electronic resource] / by: (Electronic resources)

Improving knowledge discovery through the integration of data mining techniques[electronic resource] / by: (Electronic resources)

Extracting knowledge from opinion mining[electronic resource] / by: (Electronic resources)

Explaining data patterns using knowledge from the web of data[electronic resource] / by: (Electronic resources)

Large-scale data streaming, processing, and blockchain security[electronic resource] / by: (Electronic resources)

Exploiting Semantic Web knowledge graphs in data mining[electronic resource] / by: (Electronic resources)

Cognitive social mining applications in data analytics and forensics[electronic resource] / by: (Electronic resources)

Data mining approaches for big data and sentiment analysis in social media[electronic resource] / by: (Electronic resources)

Integrating AI in IoT analytics on the cloud for healthcare applications[electronic resource] / by: (Electronic resources)

A tour of data science[electronic resource] :learn R and Python in parallel / by: (Electronic resources)

Big data analytics for intelligent healthcare management[electronic resource] / by: (Electronic resources)

Healthcare data analytics and management[electronic resource] / by: (Electronic resources)

Web usage mining techniques and applications across industries[electronic resource] / by: (Electronic resources)

Deep learning[electronic resource] :concepts, methodologies, tools, and applications / by: (Electronic resources)

Handbook of research on emerging trends and applications of machine learning[electronic resource] / by: (Electronic resources)

Handbook of research on automated feature engineering and advanced applications in data science[electronic resource] / by: (Electronic resources)

Integration challenges for analytics, business intelligence, and data mining[electronic resource] / by: (Electronic resources)

Big data analytics methods[electronic resource] :analytics techniques in data mining, deep learning and natural language processing / by: (Electronic resources)

Essential bioinformatics and data mining[electronic resource] / by: (Electronic resources)

Applying data science and learning analytics throughout a learner's lifespan[electronic resource] / by: (Electronic resources)

Applications of machine learning and deep learning for privacy and cybersecurity[electronic resource] / by: (Electronic resources)

New approaches to data analytics and Internet of Things through digital twin[electronic resource] / by: (Electronic resources)

Encyclopedia of data science and machine learning[electronic resource] / by: (Electronic resources)

Handbook of research on artificial intelligence applications in literary works and social media[electronic resource] / by: (Electronic resources)

Data science[electronic resource] :time complexity, inferential uncertainty, and spacekime analytics / by: (Electronic resources)

Knowledge discovery in the social sciences[electronic resource] :a data mining approach / by: (Electronic resources)

Data science for mathematicians[electronic resource] / by: (Electronic resources)

Data science in theory and practice[electronic resource] :techniques for big data analytics and complex data sets / by: (Electronic resources)