Advanced Techniques in Knowledge Discovery and Data Mining (Record no. 244330)
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000 -LEADER | |
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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 |
-- | |
-- | 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.