Data mining for simulation algorithm selection
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
A novel two level evolutionary approach for classification rules extraction
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
GIF: A Web-based System for Tax Management and Fiscal Intelligence in Municipal Tax Administration
Proceedings of the 3rd international conference on Theory and practice of electronic governance
More than modelling and hiding: towards a comprehensive view of Web mining and privacy
Data Mining and Knowledge Discovery
TV predictor: personalized program recommendations to be displayed on SmartTVs
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
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Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. The book discusses and illustrates how to solve real problems using the JDM API. The authors provide you with:* Data mining introduction--an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems;* JDM essentials--concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects; * JDM in practice--the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API. * Free, downloadable KJDM source code referenced in the book available here* Data mining introduction--an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems;* JDM essentials--concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects; * JDM in practice--the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API. * Free, downloadable KJDM source code referenced in the book available here