Advanced Techniques in Knowledge Discovery and Data Mining (Record no. 244330)

MARC details
000 -LEADER
fixed length control field 03924nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-1-84628-183-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160614135128.0
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 100301s2005 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781846281839
-- 978-1-84628-183-9
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/1-84628-183-0
Source of number or code doi
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Alfaisal Main Library
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D35
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code URY
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM031000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Edition number 23
245 10 - TITLE STATEMENT
Title Advanced Techniques in Knowledge Discovery and Data Mining
Medium [electronic resource] /
Statement of responsibility, etc edited by Nikhil R. Pal, Lakhmi Jain.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture London :
Name of producer, publisher, distributor, manufacturer Springer London,
Date of production, publication, distribution, manufacture 2005.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 256 p.
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 online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Advanced Information and Knowledge Processing
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Trends in Data Mining and Knowledge Discovery -- Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data -- Clustering and Visualization of Retail Market Baskets -- Segmentation of Continuous Data Streams Based on a Change Detection Methodology -- Instance Selection Using Evolutionary Algorithms: An Experimental Study -- Using Cooperative Coevolution for Data Mining of Bayesian Networks -- Knowledge Discovery and Data Mining in Medicine -- Satellite Image Classification Using Cascaded Architecture of Neural Fuzzy Network -- Discovery of Positive and Negative Rules from Medical Databases Based on Rough Sets.
520 ## - SUMMARY, ETC.
Summary, etc Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: “As the term suggests, data mining is the analysis of data to establish relationships and identify patterns” [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2].
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 Data structures (Computer science).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
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 Data Structures, Cryptology and Information Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Structures.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information Systems Applications (incl. Internet).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term local
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pal, Nikhil R.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jain, Lakhmi.
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 9781852338671
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advanced Information and Knowledge Processing
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/1-84628-183-0">http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/1-84628-183-0</a>
912 ## -
-- ZDB-2-SCS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type eBooks

No items available.

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