The Resource Knowledge discovery for business information systems, edited by Witold Abramowicz, Jozef Zurada, (electronic resource)

Knowledge discovery for business information systems, edited by Witold Abramowicz, Jozef Zurada, (electronic resource)

Label
Knowledge discovery for business information systems
Title
Knowledge discovery for business information systems
Statement of responsibility
edited by Witold Abramowicz, Jozef Zurada
Contributor
Subject
Genre
Language
eng
Summary
Current database technology and computer hardware allow us to gather, store, access, and manipulate massive volumes of raw data in an efficient and inexpensive manner. In addition, the amount of data collected and warehoused in all industries is growing every year at a phenomenal rate. Nevertheless, our ability to discover critical, non-obvious nuggets of useful information in data that could influence or help in the decision making process, is still limited. Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data. The field combines database concepts and theory, machine learning, pattern recognition, statistics, artificial intelligence, uncertainty management, and high-performance computing. To remain competitive, businesses must apply data mining techniques such as classification, prediction, and clustering using tools such as neural networks, fuzzy logic, and decision trees to facilitate making strategic decisions on a daily basis. Knowledge Discovery for Business Information Systems contains a collection of 16 high quality articles written by experts in the KDD and DM field from the following countries: Austria, Australia, Bulgaria, Canada, China (Hong Kong), Estonia, Denmark, Germany, Italy, Poland, Singapore and USA
Member of
Cataloging source
N$T
Dewey number
006.3
Illustrations
illustrations
Index
index present
LC call number
QA76.9.D343
LC item number
K56 2001eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1949-
http://library.link/vocab/relatedWorkOrContributorName
  • Abramowicz, Witold
  • Zurada, Jozef
Series statement
The Kluwer international series in engineering and computer science
Series volume
SECS 600
http://library.link/vocab/subjectName
  • Data mining
  • Knowledge acquisition (Expert systems)
  • Database searching
  • Computer Science
  • Data Structures, Cryptology and Information Theory
  • Artificial Intelligence (incl. Robotics)
  • Business Information Systems
  • COMPUTERS
  • COMPUTERS
  • Data mining
  • Database searching
  • Knowledge acquisition (Expert systems)
Label
Knowledge discovery for business information systems, edited by Witold Abramowicz, Jozef Zurada, (electronic resource)
Link
http://dx.doi.org/10.1007/b116447
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Dimensions
unknown
Extent
1 online resource (xvii, 431 pages)
Form of item
online
Isbn
9780792372431
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations.
Specific material designation
remote
System control number
  • (OCoLC)50621254
  • (OCoLC)ocm50621254
Label
Knowledge discovery for business information systems, edited by Witold Abramowicz, Jozef Zurada, (electronic resource)
Link
http://dx.doi.org/10.1007/b116447
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Dimensions
unknown
Extent
1 online resource (xvii, 431 pages)
Form of item
online
Isbn
9780792372431
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations.
Specific material designation
remote
System control number
  • (OCoLC)50621254
  • (OCoLC)ocm50621254

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