9783642017148-3642017142-Knowledge Acquisition: Approaches, Algorithms and Applications: Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, ... (Lecture Notes in Computer Science, 5465)

Knowledge Acquisition: Approaches, Algorithms and Applications: Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, ... (Lecture Notes in Computer Science, 5465)

ISBN-13: 9783642017148
ISBN-10: 3642017142
Edition: 2009
Author: Byeong-Ho Kang, Debbie Richards
Publication date: 2009
Publisher: Springer
Format: Paperback 253 pages
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Book details

ISBN-13: 9783642017148
ISBN-10: 3642017142
Edition: 2009
Author: Byeong-Ho Kang, Debbie Richards
Publication date: 2009
Publisher: Springer
Format: Paperback 253 pages

Summary

Knowledge Acquisition: Approaches, Algorithms and Applications: Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, ... (Lecture Notes in Computer Science, 5465) (ISBN-13: 9783642017148 and ISBN-10: 3642017142), written by authors Byeong-Ho Kang, Debbie Richards, was published by Springer in 2009. With an overall rating of 4.3 stars, it's a notable title among other Business Technology (Information Theory, Computer Science, Data Mining, Databases & Big Data, Algorithms, Programming) books. You can easily purchase or rent Knowledge Acquisition: Approaches, Algorithms and Applications: Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, ... (Lecture Notes in Computer Science, 5465) (Paperback) from BooksRun, along with many other new and used Business Technology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book constitutes the thoroughly refereed post-workshop proceedings of the 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, held in Hanoi, Vietnam, in December 2008 as part of 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008. The 20 revised papers presented were carefully reviewed and selected from 57 submissions and went through two rounds of reviewing and improvement. The papers are organized in topical sections on machine learning and data mining, incremental knowledge acquisition, web-based techniques and applications, as well as domain specific knowledge acquisition methods and applications.

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