| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 杜威分類號: |
658.4/72 |
| 書名/作者: |
Integration challenges for analytics, business intelligence, and data mining/ Ana Azevedo and Manuel Filipe Santos, editors. |
| 其他作者: |
Azevedo, Ana. |
| 出版者: |
Hershey, Pennsylvania : : IGI Global,, 2020. |
| 面頁冊數: |
1 online resource (xix, 250 p.) |
| 標題: |
Business enterprises - Data processing. |
| 標題: |
Business intelligence. |
| 標題: |
Data mining. |
| ISBN: |
9781799857839 (ebk.) |
| ISBN: |
9781799857815 (hbk.) |
| ISBN: |
9781799857822 (pbk.) |
| 書目註: |
Includes bibliographical references and index. |
| 內容註: |
Section 1. Background and literature review. Chapter 1. Data mining and business intelligence: a bibliometric analysis ; Chapter 2. Integration of data mining and business intelligence in big data analytics: a research agenda on scholarly publications ; Chapter 3. From business intelligence to big data: the power of analytics -- Section 2. Big data issues. Chapter 4. Big data quality for data mining in business intelligence applications: current state and research directions ; Chapter 5. Enterprise data lake management in business intelligence and analytics: challenges and research gaps in analytics practices and integration -- Section 3. Modelling issues. Chapter 6. Modelling in support of decision making in business intelligence ; Chapter 7. Causal feature selection ; Chapter 8. K-nearest neighbors algorithm (KNN): an approach to detect illicit transaction in the bitcoin network -- Section 4. Software and security. Chapter 9. A framework to evaluate big data fabric tools ; Chapter 10. A novel approach using steganography and cryptography in business intelligence. |
| 摘要、提要註: |
"This book provides insights concerning the integration of data mining in business intelligence and analytics systems, increasing the understanding of using data mining in the context of business intelligence and analytics"-- |
| 電子資源: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5781-5 |