Data Mining: Opportunities and Challenges

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Data Mining: Opportunities and Challenges ISBN  1591400511 Release Date  04 February 2003 Page  483 Category  Data Mining Tags  mining,   data mining,   "data mining",   text mining,   1591400511,   data warehousing,   data warehouse,   prentice hall,   data and mining,   data structure,   data modeling,   datawarehousing and data mining,   information retrieval data structures & algorithms,   data fusion,   data bases,   pattern mining,   unit testing,   data warehousing and mining,   challenges,   "mining",   data migration,   data mining in decision supprt system in enterprises,   port,   data modelling,   unit test,   This book @Amazon  View Tools Google Search Web flazx.com

Description Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts representing leading scientists and talented young scholars from seven different countries. Other books on Data Mining Visual Data Mining: Theory, Techniques and Tools for Visual Analytics (Lecture Notes in Computer Science) Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems) Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data Management Systems) Advanced Data Mining Techniques Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining) Mobility, Data Mining and Privacy: Geographic Knowledge Discovery Survey of Text Mining II: Clustering, Classification, and Retrieval Emerging Technologies of Text Mining: Techniques and Applications Data Mining Patterns: New Methods and Applications Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference) Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage Principles of Data Mining (Undergraduate Topics in Computer Science) Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence) Research And Trends in Data Mining Technologies And Applications (Advances in Data Warehousing and Mining Series) (Advances in Data Warehousing and Mining ... in Data Warehousing and Mining Series) Quality Measures in Data Mining (Studies in Computational Intelligence)