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Introduction to data mining and its applications /

Bibliographic Details
Main Author: Sumathi, S.
Corporate Author: SpringerLink (Online service)
Other Authors: Sivanandam, S. N.
Format: eBook
Language:English
Published: Berlin ; New York : Springer, 2006.
Series:Studies in computational intelligence. v. 29.
Subjects:
Datamining.
Data mining.
Data warehousing.
Entrepôts de données (Informatique)
Exploration de données (Informatique)
Electronic books.
Online Access:Connect to the full text of this electronic book
Publisher description
Table of Contents:
  • Introduction to data mining principles
  • Data warehousing, data mining, and OLAP
  • Data marts and data warehouse
  • Evolution and scaling of data mining algorithms
  • Emerging trends and applications of data mining
  • Data mining trends and knowledge discovery
  • Data mining tasks, techniques, and applications
  • Data mining : an introduction : case study
  • Data mining & KDD
  • Statistical themes and lessons for data mining
  • Theoretical frameworks for data mining
  • Major and privacy issues in data mining and knowledge discovery
  • Active data mining
  • Decomposition in data mining : a case study
  • Data mining system products and research prototypes
  • Data mining in customer value and customer relationship management
  • Data mining in business
  • Data mining in sales marketing and finance
  • Banking and commercial applications
  • Data mining for insurance
  • Data mining in biomedicine and science
  • Text and Web mining
  • Data mining in information analysis and delivery
  • Data mining in telecommunications and control
  • Data mining in security
  • Data mining research projects
  • Data mining standards
  • Intelligent miner
  • Clementine
  • Crisp
  • Mineset
  • Enterprise miner.