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 : |
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Springer US, |
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2006. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XLVIII, 748 p. |
Other physical details |
online resource. |
336 ## - |
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text |
-- |
txt |
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rdacontent |
337 ## - |
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computer |
-- |
c |
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rdamedia |
338 ## - |
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online resource |
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cr |
-- |
rdacarrier |
347 ## - |
-- |
text file |
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PDF |
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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 ## - |
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ZDB-2-SCS |