Advanced Data Mining Techniques Classification Clustering Regression And Prediction
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Advanced Data Mining Techniques: Classification, Clustering, Regression and Prediction
Author: Mr.Chitra Sabapathy Ranganathan
language: en
Publisher: Leilani Katie Publication
Release Date: 2024-04-02
Mr.Chitra Sabapathy Ranganathan, Associate Vice President, Mphasis Corporation, Arizona, USA
Advanced Data Mining Techniques
Author: David L. Olson
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-01-01
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.
Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.