The Resource Principles of data mining, Max Bramer
Principles of data mining, Max Bramer
Resource Information
The item Principles of data mining, Max Bramer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Principles of data mining, Max Bramer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- 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
- Language
- eng
- Extent
- 1 online resource (x, 343 pages)
- 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
- Isbn
- 9781846287664
- Label
- Principles of data mining
- Title
- Principles of data mining
- Statement of responsibility
- Max Bramer
- 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
- 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
- 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
- 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
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Principles-of-data-mining-Max-Bramer/9fskK319RSM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Principles-of-data-mining-Max-Bramer/9fskK319RSM/">Principles of data mining, Max Bramer</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
