9783540633464-3540633464-Advances in Intelligent Data Analysis. Reasoning about Data: Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings (Lecture Notes in Computer Science, 1280)

Advances in Intelligent Data Analysis. Reasoning about Data: Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings (Lecture Notes in Computer Science, 1280)

ISBN-13: 9783540633464
ISBN-10: 3540633464
Edition: 1997
Author: Paul Cohen, Michael R. Berthold, Xiaohui Liu
Publication date: 1997
Publisher: Springer
Format: Paperback 640 pages
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Book details

ISBN-13: 9783540633464
ISBN-10: 3540633464
Edition: 1997
Author: Paul Cohen, Michael R. Berthold, Xiaohui Liu
Publication date: 1997
Publisher: Springer
Format: Paperback 640 pages

Summary

Advances in Intelligent Data Analysis. Reasoning about Data: Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings (Lecture Notes in Computer Science, 1280) (ISBN-13: 9783540633464 and ISBN-10: 3540633464), written by authors Paul Cohen, Michael R. Berthold, Xiaohui Liu, was published by Springer in 1997. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent Advances in Intelligent Data Analysis. Reasoning about Data: Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings (Lecture Notes in Computer Science, 1280) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.05.

Description

This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997.
The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.

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