Coverart for item
The Resource Principles of data mining, Max Bramer

Principles of data mining, Max Bramer

Label
Principles of data mining
Title
Principles of data mining
Statement of responsibility
Max Bramer
Creator
Subject
Language
eng
Summary
"Data mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas." "This book explains and explores the principal techniques of Data Mining for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples & explanations of the algorithms given."--Jacket
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorDate
1948-
http://library.link/vocab/creatorName
Bramer, M. A.
Dewey number
006.312
Illustrations
illustrations
Index
index present
LC call number
QA76.9.D343
LC item number
B73 2007eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Undergraduate topics in computer science,
http://library.link/vocab/subjectName
  • Data mining
  • Data mining
  • Informatique
  • Data mining
Label
Principles of data mining, Max Bramer
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 255-256) 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
Contents
Data for Data Mining -- to Classification: Na{u00A8}ive Bayes and Nearest Neighbour -- Using Decision Trees for Classification -- Decision Tree Induction: Using Entropy for Attribute Selection -- Decision Tree Induction: Using Frequency Tables for Attribute Selection -- Estimating the Predictive Accuracy of a Classifier -- Continuous Attributes -- Avoiding Overfitting of Decision Trees -- More About Entropy -- Inducing Modular Rules for Classification -- Measuring the Performance of a Classifier -- Association Rule Mining I -- Association Rule Mining II -- Clustering -- Text Mining
Control code
184955289
Dimensions
unknown
Extent
1 online resource (x, 343 pages)
Form of item
online
Isbn
9781846287664
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-1-84628-765-7
Specific material designation
remote
System control number
(OCoLC)184955289
Label
Principles of data mining, Max Bramer
Publication
Bibliography note
Includes bibliographical references (pages 255-256) 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
Contents
Data for Data Mining -- to Classification: Na{u00A8}ive Bayes and Nearest Neighbour -- Using Decision Trees for Classification -- Decision Tree Induction: Using Entropy for Attribute Selection -- Decision Tree Induction: Using Frequency Tables for Attribute Selection -- Estimating the Predictive Accuracy of a Classifier -- Continuous Attributes -- Avoiding Overfitting of Decision Trees -- More About Entropy -- Inducing Modular Rules for Classification -- Measuring the Performance of a Classifier -- Association Rule Mining I -- Association Rule Mining II -- Clustering -- Text Mining
Control code
184955289
Dimensions
unknown
Extent
1 online resource (x, 343 pages)
Form of item
online
Isbn
9781846287664
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-1-84628-765-7
Specific material designation
remote
System control number
(OCoLC)184955289

Library Locations

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      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
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