Data mining.
概要
作品: | 330 作品在 195 項出版品 195 種語言 |
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書目資訊
Making sense of data IIa practical approach to data visualization, advanced data mining methods, and applications
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Adaptive web sites[electronic resource] :a knowledge extraction from web data approach /
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Text mining techniques for healthcare provider quality determination[electronic resource] :methods for rank comparisons /
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Data mining and predictive analysis[electronic resource] :intelligence gathering and crime analysis /
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Fuzzy modeling and genetic algorithms for data mining and exploration[electronic resource] /
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Java data mining[electronic resource] :strategy, standard, and practice : a practical guide for architecture, design, and implementation /
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Data mining and market intelligence for optimal marketing returns[electronic resource] /
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Data mining.[electronic resource] :foundations and intelligent paradigms /Volume 2,Statistical, bayesian, time series and other theoretical aspects
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Dark web[electronic resource] :exploring and data mining the dark side of the web /
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Data mining.[electronic resource] :foundations and intelligent paradigms /Volume 3,Medical, health, social, biological and other applications
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Transactions on large-scale data- and knowledge-centered systems V[electronic resource] /
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Spatial AutoRegression (SAR) model[electronic resource] :parameter estimation techniques /
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Mining for strategic competitive intelligence[electronic resource] :foundations and applications /
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Integration of information and optimization models for routing in city logistics[electronic resource] /
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Intelligent data analysis for real-life applications[electronic resource] :theory and practice /
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Next generation search engines[electronic resource] :advanced models for information retrieval /
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Exploring advances in interdisciplinary data mining and analytics[electronic resource] :new trends /
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Social network mining, analysis, and research trends[electronic resource] :techniques and applications /
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Data mining applications for empowering knowledge societies[electronic resource] /
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Data mining[electronic resource] :practical machine learning tools and techniques.
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Understanding complex datasets[electronic resource] :data mining with matrix decompositions /
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Multimedia data mining[electronic resource] :a systematic introduction to concepts and theory /
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Machine interpretation of patterns[electronic resource] :image analysis and data mining /
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Scientific data mining and knowledge discovery[electronic resource] :principles and foundations /
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Computational framework for knowledge[electronic resource] :integrated behavior of machines /
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Diagnostic test approaches to machine learning and commonsense reasoning systems[electronic resource] /
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Information retrieval methods for multidisciplinary applications[electronic resource] /
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Cases on health outcomes and clinical data mining[electronic resource] :studies and frameworks /
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Social media mining and social network analysis[electronic resource] :emerging research /
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Practical text mining and statistical analysis for non-structured text data applications[electronic resource] /
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Constrained clustering[electronic resource] :advances in algorithms, theory, and applications /
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Privacy-aware knowledge discovery[electronic resource] :novel applications and new techniques /
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Clinical data mining for physician decision making and investigating health outcomes[electronic resource] :methods for prediction and analysis /
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Research and development in e-business through service-oriented solutions[electronic resource] /
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Predictive analytics, data mining and big data :myths, misconceptions and methods /
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Data mining for managers[electronic resource] :how to use data (big and small) to solve business challenges /
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Big data[electronic resource] :related technologies, challenges and future prospects /
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Algorithms and dynamical models for communities and reputation in social networks[electronic resource] /
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Interactive knowledge discovery and data mining in biomedical informatics[electronic resource] :state-of-the-art and future challenges /
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Data science for business :[what you need to know about data mining and data-analytic thinking] /
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Big data and analytics[electronic resource] :strategic and organizational impacts /
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Developing churn models using data mining techniques and social network analysis /
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Handbook of research on organizational transformations through big data analytics /
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Data mining techniques in sensor networks[electronic resource] :summarization, interpolation and surveillance /
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Data mining and knowledge discovery for big data[electronic resource] :methodologies, challenge and opportunities /
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Intelligent strategies for pathway mining[electronic resource] :model and pattern identification /
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Citizen in sensor networks[electronic resource] :second international workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013 : revised selected papers /
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Data analysis and pattern recognition in multiple databases[electronic resource] /
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Social interaction, globalization and computer-aided analysis[electronic resource] :a practical guide to developing social simulation /
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Visualizing the data city[electronic resource] :social media as a source of knowledge for urban planning and management /
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Mathematical tools for data mining[electronic resource] :set theory, partial orders, combinatorics /
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Transactions on large-scale data- and knowledge-centered systems XIII[electronic resource] /
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Commercial data mining[electronic resource] :processing, analysis and modeling for predictive analytics projects /
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Quantum machine learning[electronic resource] :what quantum computing means to data mining /
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Multimedia information extraction[electronic resource] :advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /
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Making sense of data I[electronic resource] :a practical guide to exploratory data analysis and data mining /
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Discovering knowledge in data[electronic resource] :an introduction to data mining /
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Crowdsourcing for speech processing[electronic resource] :applications to data collection, transcription and assessment /
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Data-driven optimization and knowledge discovery for an enterprise information system[electronic resource] /
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Serious games analytics[electronic resource] :methodologies for performance measurement, assessment, and improvement /
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Operators for similarity search[electronic resource] :semantics, techniques and usage scenarios /
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Python data analytics[electronic resource] :data analysis and science using Pandas, matplotlib, and the Python programming language /
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Engineering applications of neural networks[electronic resource] :16th International Conference, EANN 2015, Rhodes, Greece, September 25-28, 2015 : proceedings /
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Social media processing[electronic resource] :4th National Conference, SMP 2015, Guangzhou, China, November 16-17, 2015 : proceedings /
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Discovery science[electronic resource] :18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings /
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Algorithmic learning theory[electronic resource] :26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings /
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Foundations of Intelligent Systems[electronic resource] :22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015 : proceedings /
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Conceptual modeling[electronic resource] :34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015 : proceedings /
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Web information systems engineering - WISE 2015[electronic resource] :16th International Conference, Miami, FL, USA, November 1-3, 2015 : proceedings.Part II /
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Web information systems engineering - WISE 2015[electronic resource] :16th International Conference, Miami, FL, USA, November 1-3, 2015 : proceedings.Part I /
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Big data analytics[electronic resource] :4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015 : proceedings /
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Clustering high-dimensional data[electronic resource] :first International Workshop, CHDD 2012, Naples, Italy, May 15, 2012 : revised selected papers /
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Sentic computing[electronic resource] :a common-sense-based framework for concept-level sentiment analysis /
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Text analysis pipelines[electronic resource] :towards ad-hoc large scale text mining /
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Social informatics[electronic resource] :7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015 : proceedings /
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Data mining for social robotics[electronic resource] :toward autonomously social robots /
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Knowledge transfer between computer vision and text mining[electronic resource] :similarity-based learning approaches /
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Business intelligence[electronic resource] :5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015 : tutorial lectures /
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Post, mine, repeat[electronic resource] :social media data mining becomes ordinary /
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Contemporary research methods and data analytics in the news industry[electronic resource] /
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Developing effective educational experiences through learning analytics[electronic resource] /
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Application of data mining techniques in the analysis of indoor hygrothermal conditions[electronic resource] /
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Programmatic advertising[electronic resource] :the successful transformation to automated, data-driven marketing in real-time /
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Pro salesforce analytics cloud[electronic resource] :a guide to wave platform, builder, and explorer /
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Business project management and marketing[electronic resource] :mastering business markets /
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Link prediction in social networks[electronic resource] :role of power law distribution /
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Private data and public value[electronic resource] :governance, green consumption, and sustainable supply chains /
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Big data, mining, and analytics[electronic resource] :components of strategic decision making /
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Data mining and predictive analysis[electronic resource] :intelligence gathering and crime analysis /
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Data analysis in the cloud[electronic resource] :models, techniques and applications /
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Quantifying aesthetics of visual design applied to automatic design[electronic resource] /
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Data science & big data analytics[electronic resource] :discovering, analyzig, visualizing, and presenting data /
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Taming the big data tidal wave[electronic resource] :finding opportunities in huge data streams with advanced analytics /
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Designing knowledge management-enabled business strategies[electronic resource] :a top-down approach /
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Data analytics[electronic resource] :models and algorithms for intelligent data analysis /
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Anticipating future innovation pathways through large data analysis[electronic resource] /
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Fundamentals of machine learning for predictive data analytics :algorithms, worked examples, and case studies /
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Project management analytics :a data-driven approach to making rational and effective project decisions /
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Disruptive analytics[electronic resource] :charting your strategy for next-generation business analytics /
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Cognitive (internet of) things[electronic resource] :collaboration to optimize action /
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Network analysis literacy[electronic resource] :a practical approach to the analysis of networks /
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Learning social media analytics with R :transform data from social media platforms into actionable insights /
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Predictive analytics with TensorFlow :implement deep learning principles to predict valuable insights using TensorFlow /
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Conformance checking and diagnosis in process mining[electronic resource] :comparing observed and modeled processes /
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Text analytics with Python[electronic resource] :a practical real-world approach to gaining actionable insights from your data /
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Data mining and constraint programming[electronic resource] :foundations of a cross-disciplinary approach /
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Handbook of research on advanced data mining techniques and applications for business intelligence[electronic resource] /
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Data mining trends and applications in criminal science and investigations[electronic resource] /
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Marketing data science :modeling techniques in predictive analytics with R and Python /
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Data mining for genomics and proteomics :analysis of gene and protein expression data /
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Behind every good decision[electronic resource] :how anyone can use business analytics to turn data into profitable insight /
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Big mechanisms in systems biology :big data mining, network modeling, and genome-wide data identification /
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Improving e-commerce web applications through business intelligence techniques[electronic resource] /
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Enhancing knowledge discovery and innovation in the digital era[electronic resource] /
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Big data management and the Internet of things for improved health systems[electronic resource] /
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Recent advances in intelligent technologies and information systems[electronic resource] /
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Automatic cyberbullying detection[electronic resource] :emerging research and opportunities /
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Techno-social systems for modern economical and governmental infrastructures[electronic resource] /
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Improving knowledge discovery through the integration of data mining techniques[electronic resource] /
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Large-scale data streaming, processing, and blockchain security[electronic resource] /
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Cognitive social mining applications in data analytics and forensics[electronic resource] /
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Data mining approaches for big data and sentiment analysis in social media[electronic resource] /
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Integrating AI in IoT analytics on the cloud for healthcare applications[electronic resource] /
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Deep learning[electronic resource] :concepts, methodologies, tools, and applications /
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Handbook of research on emerging trends and applications of machine learning[electronic resource] /
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Handbook of research on automated feature engineering and advanced applications in data science[electronic resource] /
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Applying data science and learning analytics throughout a learner's lifespan[electronic resource] /
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Applications of machine learning and deep learning for privacy and cybersecurity[electronic resource] /
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New approaches to data analytics and Internet of Things through digital twin[electronic resource] /
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Handbook of research on artificial intelligence applications in literary works and social media[electronic resource] /
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Data science[electronic resource] :time complexity, inferential uncertainty, and spacekime analytics /
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Knowledge discovery in the social sciences[electronic resource] :a data mining approach /
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Data science in theory and practice[electronic resource] :techniques for big data analytics and complex data sets /
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Integration challenges for analytics, business intelligence, and data mining[electronic resource] /
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Data mining.[electronic resource] :foundations and intelligent paradigms /Volume 1,Clustering, association and classification
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Evolving application domains of data warehousing and mining[electronic resource] :trends and solutions /
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Data mining[electronic resource] :concepts, methodologies, tools, and applications /
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Rare association rule mining and knowledge discovery[electronic resource] :technologies for infrequent and critical event detection /
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Advancing information management through Semantic Web concepts and ontologies[electronic resource] /
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Data insights[electronic resource] :new ways to visualize and make sense of data /
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Web data mining and the development of knowledge-based decision support systems[electronic resource] /
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