Coverart for item
The Resource Data mining for the social sciences : an introduction, Paul Attewell and David B. Monaghan

Data mining for the social sciences : an introduction, Paul Attewell and David B. Monaghan

Label
Data mining for the social sciences : an introduction
Title
Data mining for the social sciences
Title remainder
an introduction
Statement of responsibility
Paul Attewell and David B. Monaghan
Creator
Contributor
Author
Subject
Language
eng
Summary
We live, today, in world of big data. The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages.--
Assigning source
Provided by publisher
Cataloging source
CU-S/DLC
http://library.link/vocab/creatorDate
1949-
http://library.link/vocab/creatorName
Attewell, Paul A.
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1988-
http://library.link/vocab/relatedWorkOrContributorName
Monaghan, David B.
http://library.link/vocab/subjectName
  • Social sciences
  • Social sciences
  • Data mining
Label
Data mining for the social sciences : an introduction, Paul Attewell and David B. Monaghan
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 239-244) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
1. What is data mining? -- 2. Contrasts with the conventional statistical approach -- 3. Some general strategies used in data mining -- 4. Important stages in a data mining project -- 5. Preparing training and test datasets -- 6. Variable selection tools -- 7. Creating new variables using binning and trees -- 8. Extracting variables -- 9. Classifiers -- 10. Classification trees -- 11. Neural networks -- 12. Clustering -- 13. Latent class analysis and mixture models -- 14. Association rules -- Conclusion
Control code
FIEb17709490
Dimensions
26 cm.
Edition
First edition.
Extent
xi, 252 pages
Isbn
9780520280977
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)894491465
Label
Data mining for the social sciences : an introduction, Paul Attewell and David B. Monaghan
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 239-244) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
1. What is data mining? -- 2. Contrasts with the conventional statistical approach -- 3. Some general strategies used in data mining -- 4. Important stages in a data mining project -- 5. Preparing training and test datasets -- 6. Variable selection tools -- 7. Creating new variables using binning and trees -- 8. Extracting variables -- 9. Classifiers -- 10. Classification trees -- 11. Neural networks -- 12. Clustering -- 13. Latent class analysis and mixture models -- 14. Association rules -- Conclusion
Control code
FIEb17709490
Dimensions
26 cm.
Edition
First edition.
Extent
xi, 252 pages
Isbn
9780520280977
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)894491465

Library Locations

    • Badia FiesolanaBorrow it
      Via dei Roccettini 9, San Domenico di Fiesole, 50014, IT
      43.803074 11.283055
Processing Feedback ...