Mathematical methods for knowledge discovery and data mining - Info and Reading Options
By Giovanni Felici

"Mathematical methods for knowledge discovery and data mining" was published by Information Science Reference in 2007 - Hershey, PA, it has 369 pages and the language of the book is English.
“Mathematical methods for knowledge discovery and data mining” Metadata:
- Title: ➤ Mathematical methods for knowledge discovery and data mining
- Author: Giovanni Felici
- Language: English
- Number of Pages: 369
- Publisher: Information Science Reference
- Publish Date: 2007
- Publish Location: Hershey, PA
“Mathematical methods for knowledge discovery and data mining” Subjects and Themes:
- Subjects: ➤ Mathematical models - Knowledge acquisition (Expert systems) - Data mining - Математика - Mathematics - Knowledge acquisition (expert systems)
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL23141379M - OL13757797W
- Online Computer Library Center (OCLC) ID: 137305912
- Library of Congress Control Number (LCCN): 2007022228
- ISBN-13: 9781599045283 - 9781599045306
- All ISBNs: 9781599045283 - 9781599045306
AI-generated Review of “Mathematical methods for knowledge discovery and data mining”:
"Mathematical methods for knowledge discovery and data mining" Description:
The Open Library:
"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher.
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