MARC details
000 -LEADER |
fixed length control field |
04104nam a22005055i 4500 |
001 - CONTROL NUMBER |
control field |
978-3-642-01091-0 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20170628035014.0 |
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 |
100301s2009 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783642010910 |
-- |
978-3-642-01091-0 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-3-642-01091-0 |
Source of number or code |
doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TA329-348 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TA640-643 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TBJ |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
MAT003000 |
Source |
bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Abraham, Ajith. |
Relator term |
editor. |
245 10 - TITLE STATEMENT |
Title |
Foundations of Computational, IntelligenceVolume 6 |
Medium |
[electronic resource] : |
Remainder of title |
Data Mining / |
Statement of responsibility, etc |
edited by Ajith Abraham, Aboul-Ella Hassanien, André Ponce Leon F. de Carvalho, Václav Snášel. |
264 #1 - |
-- |
Berlin, Heidelberg : |
-- |
Springer Berlin Heidelberg, |
-- |
2009. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
X, 400 p. |
Other physical details |
online resource. |
336 ## - |
-- |
text |
-- |
txt |
-- |
rdacontent |
337 ## - |
-- |
computer |
-- |
c |
-- |
rdamedia |
338 ## - |
-- |
online resource |
-- |
cr |
-- |
rdacarrier |
347 ## - |
-- |
text file |
-- |
PDF |
-- |
rda |
490 1# - SERIES STATEMENT |
Series statement |
Studies in Computational Intelligence, |
International Standard Serial Number |
1860-949X ; |
Volume number/sequential designation |
206 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Data Click Streams and Temporal Data Mining -- Mining and Analysis of Clickstream Patterns -- An Overview on Mining Data Streams -- Data Stream Mining Using Granularity-Based Approach -- Time Granularity in Temporal Data Mining -- Mining User Preference Model from Utterances -- Text and Rule Mining -- Text Summarization: An Old Challenge and New Approaches -- From Faceted Classification to Knowledge Discovery of Semi-structured Text Records -- Multi-value Association Patterns and Data Mining -- Clustering Time Series Data: An Evolutionary Approach -- Support Vector Clustering: From Local Constraint to Global Stability -- New Algorithms for Generation Decision Trees—Ant-Miner and Its Modifications -- Data Mining Applications -- Automated Incremental Building of Weighted Semantic Web Repository -- A Data Mining Approach for Adaptive Path Planning on Large Road Networks -- Linear Models for Visual Data Mining in Medical Images -- A Framework for Composing Knowledge Discovery Workflows in Grids -- Distributed Data Clustering: A Comparative Analysis. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; artificial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are applied to Data Mining problems. Computational tools or solutions based on intelligent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for Data Mining. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Engineering. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Engineering mathematics. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Engineering. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Appl.Mathematics/Computational Methods of Engineering. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Hassanien, Aboul-Ella. |
Relator term |
editor. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Leon F. de Carvalho, André Ponce. |
Relator term |
editor. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Snášel, Václav. |
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 |
9783642010903 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Studies in Computational Intelligence, |
-- |
1860-949X ; |
Volume number/sequential designation |
206 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/978-3-642-01091-0">http://dx.doi.org/10.1007/978-3-642-01091-0</a> |
912 ## - |
-- |
ZDB-2-ENG |