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James G. Shanahan has written 4 work(s)
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Cover for 9781402040269 Cover for 9783540663744 Cover for 9783540204879 Cover for 9780792379188 Cover for 9781461369479
Computing Attitude And Affect in Text: Theory And Applications
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By Yan Qu (editor), James G. Shanahan (editor) and Janyce M. Wiebe (editor)
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Hardcover:

9781402040269 | Springer-Verlag New York Inc, February 28, 2006, cover price $189.00

Fuzzy Logic in Artificial Intelligence: Ijcai'97 Workshop Nagoya, Japan, August 1997 Selected and Invited Papers
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By Anca L. Ralescu (editor) and James G. Shanahan (editor)
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Paperback:

9783540663744 | Springer Verlag, September 1, 1999, cover price $99.00

Modelling With Words: Learning, Fusion, and Reasoning Within a Formal Linguistic Representation Framework
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By Jonathan Lawry, Anca L. Ralescu (editor), James G. Shanahan (editor) and Jimi Shananhan
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Paperback:

9783540204879 | Springer Verlag, November 1, 2003, cover price $79.99

Soft Computing for Knowledge Discovery: Introducing Cartesian Granule Features
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Product Description: Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective...read more
By James G. Shanahan
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Hardcover:

9780792379188 | Kluwer Academic Pub, August 1, 2000, cover price $189.00 | About this edition: Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently.

Paperback:

9781461369479 | Springer-Verlag New York Inc, November 9, 2012, cover price $179.00 | About this edition: Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently.

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