Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Record no. 14532)

MARC details
000 -LEADER
fixed length control field 04004nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-0-387-34296-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170628033307.0
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 100301s2006 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387342962
-- 978-0-387-34296-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/0-387-34296-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA75.5-76.95
072 #7 - SUBJECT CATEGORY CODE
Subject category code UNH
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UND
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM030000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 025.04
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Triantaphyllou, Evangelos.
Relator term editor.
245 10 - TITLE STATEMENT
Title Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Medium [electronic resource] /
Statement of responsibility, etc edited by Evangelos Triantaphyllou, Giovanni Felici.
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2006.
300 ## - PHYSICAL DESCRIPTION
Extent XLVIII, 748 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
338 ## -
-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Massive Computing,
International Standard Serial Number 0924-6703 ;
Volume number/sequential designation 6
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note A Common Logic Approach to Data Mining and Pattern Recognition -- The One Clause at a Time (OCAT) Approach to Data Mining and Knowledge Discovery -- An Incremental Learning Algorithm for Inferring Logical Rules from Examples in the Framework of the Common Reasoning Process -- Discovering Rules That Govern Monotone Phenomena -- Learning Logic Formulas and Related Error Distributions -- Feature Selection for Data Mining -- Transformation of Rational Data and Set Data to Logic Data -- Data Farming: Concepts and Methods -- Rule Induction Through Discrete Support Vector Decision Trees -- Multi-Attribute Decision Trees and Decision Rules -- Knowledge Acquisition and Uncertainty in Fault Diagnosis: A Rough Sets Perspective -- Discovering Knowledge Nuggets with a Genetic Algorithm -- Diversity Mechanisms in Pitt-Style Evolutionary Classifier Systems -- Fuzzy Logic in Discovering Association Rules: An Overview -- Mining Human Interpretable Knowledge with Fuzzy Modeling Methods: An Overview -- Data Mining from Multimedia Patient Records -- Learning to Find Context Based Spelling Errors -- Induction and Inference with Fuzzy Rules for Textual Information Retrieval -- Statistical Rule Induction in the Presence of Prior Information: The Bayesian Record Linkage Problem -- Some Future Trends in Data Mining.
520 ## - SUMMARY, ETC.
Summary, etc This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). Its chapters combine many theoretical foundations for various DM&KD methods, and they present a rich array of examples—many of which are drawn from real-life applications. Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered. The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts. Audience The intended audience for this book includes graduate students studying data mining who have some background in mathematical logic and discrete optimization, as well as researchers and practitioners in the same area.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information storage and retrieval systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Operations research.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information Storage and Retrieval.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Operations Research, Mathematical Programming.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Operations Research/Decision Theory.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Felici, Giovanni.
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
Display text Printed edition:
International Standard Book Number 9780387342948
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Massive Computing,
-- 0924-6703 ;
Volume number/sequential designation 6
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/0-387-34296-6">http://dx.doi.org/10.1007/0-387-34296-6</a>
912 ## -
-- ZDB-2-SCS
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Central Library Central Library 28/06/2017 Springer EBook   E-37711 28/06/2017 28/06/2017 E-Book

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