Senthil Kumar A.V. (Ed.) Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

IGI Global, 2011. — 390 p. — ISBN: 978-1609600679, e-ISBN: 978-1609600693.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.Concepts, Tools and Techniques.
A Framework to Detect Disguised Missing Data.
Microarray Data Mining: Issues and Prospects.
Temporal Association Rule Mining in Large Databases.
Optimizing and Managing Digital Telecommunication Systems Using Data Mining and Knowledge Discovery Approaches.
Finding Persistent Strong Rules: Using Classification to Improve Association Mining.
Research and Learning.
A Perspective on Data Mining Integration with Business Intelligence.
Shadow Sensitive SWIFT: A Commit Protocol for Advanced Data Warehouses.
Mobile Marketing: The Challenges of the New Direct Marketing Channel and the Need for Automatic Targeting and Optimization Tools.
Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties.
Cooperation between Expert Knowledge and Data Mining Discovered Knowledge.
Case Studies.
A Comparative Study of Associative Classifiers in Mesenchymal Stem Cell Differentiation Analysis.
Multiagent Knowledge-Based System Accessing Distributed Resources on Knowledge Grid.
Opinion Mining with SentiWordNet.
Analysis and Integration of Biological Data: A Data Mining Approach Using Neural Networks.
Internet Forums: What Knowledge can be Mined from Online Discussions.