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Focusing Solutions for Data Mining : Analytical Studies and Experimental Results in Real-World Domains / by Thomas Reinartz.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Author/Creator:
- Reinartz, Thomas, author.
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 1623.
- Lecture Notes in Artificial Intelligence ; 1623
- Language:
- English
- Subjects (All):
- Database management.
- Artificial intelligence.
- Algorithms.
- Information storage and retrieval.
- Computational complexity.
- Information technology.
- Business--Data processing.
- Business.
- Database Management.
- Artificial Intelligence.
- Algorithm Analysis and Problem Complexity.
- Information Storage and Retrieval.
- Complexity.
- IT in Business.
- Local Subjects:
- Database Management.
- Artificial Intelligence.
- Algorithm Analysis and Problem Complexity.
- Information Storage and Retrieval.
- Complexity.
- IT in Business.
- Physical Description:
- 1 online resource (XVI, 316 pages).
- Edition:
- First edition 1999.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
- System Details:
- text file PDF
- Summary:
- In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques, and finally culminates in implementing a unified approach as a generic sampling algorithm, which is then integrated into a commercial data mining system. The last part evaluates specific focusing solutions in various application domains. The book provides various appendicies enhancing easy accessibility. The book presents a comprehensive introduction to focusing in the context of data mining and knowledge discovery. It is written for researchers and advanced students, as well as for professionals applying data mining and knowledge discovery techniques in practice.
- Contents:
- Knowledge Discovery in Databases
- Focusing Tasks
- Focusing Solutions
- Analytical Studies
- Experimental Results
- Conclusions.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-48316-8
- 9783540483168
- Access Restriction:
- Restricted for use by site license.
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