《Knowledge Discovery Practices and Emerging Applications of Data Mining》

一颗独苗苗

《Knowledge Discovery Practices and Emerging Applications of Data Mining》
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作者: Kumar, A.V. Senthil 编
Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically.

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.

Topics Covered
The many academic areas covered in this publication include, but are not limited to:

• Analysis and integration of biological data
• Data mining integration with business intelligence
• Disguised missing data
• Knowledge mining from online discussions
• Microarray data mining
• Mobile Marketing
• Multiagent knowledge-based systems
• Optimizing and managing digital telecommunication systems using data mining
• Temporal association rule mining in large databases
• Using classification to improve association mining