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Data mining for the social sciences : an introduction / Paul Attewell and David B. Monaghan.
De Gruyter University of California Press Complete eBook-Package 2014-2015 Available online
View online- Format:
- Book
- Author/Creator:
- Attewell, Paul A., 1949- author.
- Monaghan, David B., 1988- author.
- Language:
- English
- Subjects (All):
- Social sciences--Data processing.
- Social sciences.
- Social sciences--Statistical methods.
- Data mining.
- Physical Description:
- 1 online resource (265 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Oakland, California : University of California Press, 2015.
- Language Note:
- English
- Summary:
- We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.
- Contents:
- Front matter
- CONTENTS
- ACKNOWLEDGMENTS
- 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
- 8. EXTRACTING VARIABLES
- 9. CLASSIFIERS
- 10. CLASSIFICATION TREES
- 11. NEURAL NETWORKS
- 12. CLUSTERING
- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS
- 14. ASSOCIATION RULES
- CONCLUSION. Where Next?
- BIBLIOGRAPHY
- NOTES
- INDEX
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- Description based on print version record.
- ISBN:
- 9780520280984
- 0520280989
- 9780520960596
- 0520960599
- OCLC:
- 905221641
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