Introduction to Data Mining and its Applications

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing wor...

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Bibliografske podrobnosti
Auteurs principaux: Sumathi, S., 1968-, Sivanandam, S.N (Auteur)
Format: Livre numérique
Jezik:Anglais
Izdano: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Izdaja:1st ed. 2006.
Serija:Studies in Computational Intelligence 29
Online dostop:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Sporočilo: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Introduction to Data Mining and its Applications, Texte imprimé, 9783540343509
• Introduction to Data Mining and its Applications, Texte imprimé, 9783540824183
• Introduction to Data Mining and its Applications, Texte imprimé, 9783540343509
• Introduction to Data Mining and its Applications, Texte imprimé, 9783662500804
Kazalo:
  • 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