Soft Computing for Knowledge Discovery and Data Mining (Record no. 58144)

MARC details
000 -LEADER
fixed length control field 05272nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-0-387-69935-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250710084010.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2008 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387699356
-- 99780387699356
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-387-69935-6
Source of number or code doi
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Edition information 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Maimon, Oded.
Relator term editor.
245 10 - TITLE STATEMENT
Title Soft Computing for Knowledge Discovery and Data Mining
Medium [recurso electrónico] /
Statement of responsibility, etc. edited by Oded Maimon, Lior Rokach.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boston, MA :
Name of producer, publisher, distributor, manufacturer Springer US,
Date of production, publication, distribution, manufacture, or copyright notice 2008.
300 ## - PHYSICAL DESCRIPTION
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term recurso en línea
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Neural Network Methods -- to Soft Computing for Knowledge Discovery and Data Mining -- Neural Networks For Data Mining -- Improved SOM Labeling Methodology for Data Mining Applications -- Evolutionary Methods -- A Review of evolutionary Algorithms for Data Mining -- Genetic Clustering for Data Mining -- Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming -- evolutionary Design of Code-matrices for Multiclass Problems -- Fuzzy Logic Methods -- The Role of Fuzzy Sets in Data Mining -- Support Vector Machines and Fuzzy Systems -- KDD in Marketing with Genetic Fuzzy Systems -- Knowledge Discovery in a Framework for Modelling with Words -- Advanced Soft Computing Methods and Areas -- Swarm Intelligence Algorithms for Data Clustering -- A Diffusion Framework for Dimensionality Reduction -- Data Mining and Agent Technology: a fruitful symbiosis -- Approximate Frequent Itemset Mining In the Presence of Random Noise -- The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining.
520 ## - SUMMARY, ETC.
Summary, etc. Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful and insightful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. Soft Computing for Knowledge Discovery and Data Mining introduces theoretical approaches and practical computing methods extending the envelope of problems that data mining can solve efficiently. From the editors of the leading Data Mining and Knowledge Discovery Handbook, 2005, this volume, by highly regarded authors, includes selected contributors of the Handbook. The first three parts of this book are devoted to the principal constituents of soft computing: neural networks, evolutionary algorithms and fuzzy logic. The last part compiles the recent advances in soft computing for data mining, such as swarm intelligence, diffusion process and agent technology. This book was written to provide investigators in the fields of information systems, engineering, computer science, operations research, bio-informatics, statistics and management with a profound source for the role of soft computing in data mining. Not only does this book feature illustrations of various applications including marketing, manufacturing, medical, and others, but it also includes various real-world case studies with detailed results. Soft Computing for Knowledge Discovery and Data Mining is designed for theoreticians, researchers and advanced practitioners in industry. Practitioners may be particularly interested in the description of real world data mining projects performed with soft computing. This book is also suitable as a textbook or reference for advanced-level students in mathematical quantitative methods in the above fields. About the editors: Oded Maimon is Full Professor at the Department of Industrial Engineering, Tel-Aviv University, Israel. Lior Rokach is Assistant Professor at the Department of Information System Engineering, Ben-Gurion University of the Negev, Israel. Maimon and Rokach are recognized international experts in data mining and business intelligence, and serve in leading positions in this field. They have written numerous scientific articles and are the editors of the complete Data Mining and Knowledge Discovery Handbook (2005). They have jointly authored two of the best detailed books in the field of data mining: Decomposition Methodology for Knowledge Discovery and Data Mining (2005), and Data Mining with Decision Trees (2007).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTER SCIENCE.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTER COMMUNICATION NETWORKS.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DATABASE MANAGEMENT.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INFORMATION STORAGE AND RETRIEVAL SYSTEMS.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INFORMATION SYSTEMS.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element OPTICAL PATTERN RECOGNITION.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTER SCIENCE.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DATABASE MANAGEMENT.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INFORMATION STORAGE AND RETRIEVAL.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PATTERN RECOGNITION.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTER COMMUNICATION NETWORKS.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INFORMATION SYSTEMS APPLICATIONS (INCL.INTERNET).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rokach, Lior.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780387699349
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-0-387-69935-6">http://dx.doi.org/10.1007/978-0-387-69935-6</a>
Public note Ver el texto completo en las instalaciones del CICY
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Libros electrónicos
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Price effective from Koha item type
  Dewey Decimal Classification     Libro electrónico CICY CICY Libro electrónico 10.07.2025   005.74 10.07.2025 10.07.2025 Libros electrónicos