Data mining and knowledge discovery via logic-based methods - Info and Reading Options
theory, algorithms, and applications
By Evangelos Triantaphyllou

"Data mining and knowledge discovery via logic-based methods" was published by Springer in 2010 - New York, it has 350 pages and the language of the book is English.
“Data mining and knowledge discovery via logic-based methods” Metadata:
- Title: ➤ Data mining and knowledge discovery via logic-based methods
- Author: Evangelos Triantaphyllou
- Language: English
- Number of Pages: 350
- Publisher: Springer
- Publish Date: 2010
- Publish Location: New York
“Data mining and knowledge discovery via logic-based methods” Subjects and Themes:
- Subjects: ➤ Data mining - Knowledge acquisition (expert systems) - Mathematics - Computer science - Operations research - Mathematical Programming Operations Research - Mathematical Logic and Formal Languages - Operations Research/Decision Theory
Edition Specifications:
- Pagination: xxxiii, 350 p. :
Edition Identifiers:
- The Open Library ID: OL25375124M - OL16703258W
- Online Computer Library Center (OCLC) ID: 649651220
- Library of Congress Control Number (LCCN): 2010928843
- ISBN-13: 9781441916297 - 9781441916303
- ISBN-10: 1441916296
- All ISBNs: 1441916296 - 9781441916297 - 9781441916303
AI-generated Review of “Data mining and knowledge discovery via logic-based methods”:
"Data mining and knowledge discovery via logic-based methods" Description:
Open Data:
"The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest. While numerous methods have been developed, the focus of this book presents algorithms and applications using one popular method that has been formulated in terms of binary attributes, i.e., by Boolean functions defined on several attributes that are easily transformed into rules that can express new knowledge. This book presents methods that deal with key data mining and knowledge discovery issues in an intuitive manner, in a natural sequence, and in a way that can be easily understood and interpreted by a wide array of experts and end users. The presentation provides a unique perspective into the essence of some fundamental DM issues, many of which come from important real life applications such as breast cancer diagnosis. Applications and algorithms are accompanied by extensive experimental results and are presented in a way such that anyone with a minimum background in mathematics and computer science can benefit from the exposition. Rigor in mathematics and algorithmic development is not compromised and each chapter systematically offers some possible extensions for future research."--Publisher's website
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