Data Mining : Theories, Algorithms, and Examples
Language: English
Published by Taylor & Francis Ltd, 2017
- Softcover
- Used
Condition: Used - Fine
£ 44.31
Quantity: 1 available
Add to basketItem description from seller
Zustand: Sehr gut | Seiten: 349 | Sprache: Englisch | Produktart: Bücher | New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms.The book covers a wide range of data mining algorithms, including those commonly found in data mining literature and those not fully covered in most of existing literature due to their considerable difficulty. The book presents a list of software packages that support the data mining algorithms, applications of the data mining algorithms with references, and exercises, along with the solutions manual and PowerPoint slides of lectures. The author takes a practical approach to data mining algorithms so that the data patterns produced can be fully interpreted. This approach enables students to understand theoretical and operational aspects of data mining algorithms and to manually execute the algorithms for a thorough understanding of the data patterns produced by them. …
Seller Inventory # 29776487/2
- Title
- Data Mining : Theories, Algorithms, and Examples
- Author
- Nong Ye
- Publisher
- Taylor & Francis Ltd
- Publication year
- 2017
- Condition
- Sehr gut
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1138073660
- ISBN 13
- 9781138073661
- Series
- Book 22 of 40: Human Factors and Ergonomics
- Seller catalogs
- Bücher
New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms.
The book covers a wide range of data mining algorithms, including those commonly found in data mining literature and those not fully covered in most of existing literature due to their considerable difficulty. The book presents a list of software packages that support the data mining algorithms, applications of the data mining algorithms with references, and exercises, along with the solutions manual and PowerPoint slides of lectures.
The author takes a practical approach to data mining algorithms so that the data patterns produced can be fully interpreted. This approach enables students to understand theoretical and operational aspects of data mining algorithms and to manually execute the algorithms for a thorough understanding of the data patterns produced by them.
"Synopsis" may belong to another edition of this title.
About the Author
Nong Ye is Professor of Industrial Engineering at Arizona State University in Tempe.
"About the title" may belong to another edition of this title.
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