Knowledge Discovery in the Social Sciences
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A01=Prof. Xiaoling Shu
A01=Xiaoling Shu
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academic research
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causality
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data mining
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regression
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scientific research
scientific study
social science
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statistical analysis
statistics
text mining
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Product details
- ISBN 9780520339996
- Weight: 726g
- Dimensions: 178 x 254mm
- Publication Date: 04 Feb 2020
- Publisher: University of California Press
- Publication City/Country: US
- Product Form: Hardback
- Language: English
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Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge.
Readers will learn to:
• appreciate the role of data mining in scientific research
• develop an understanding of fundamental concepts of data mining and knowledge discovery
• use software to carry out data mining tasks
• select and assess appropriate models to ensure findings are valid and meaningful
• develop basic skills in data preparation, data mining, model selection, and validation
• apply concepts with end-of-chapter exercises and review summaries
Readers will learn to:
• appreciate the role of data mining in scientific research
• develop an understanding of fundamental concepts of data mining and knowledge discovery
• use software to carry out data mining tasks
• select and assess appropriate models to ensure findings are valid and meaningful
• develop basic skills in data preparation, data mining, model selection, and validation
• apply concepts with end-of-chapter exercises and review summaries
Xiaoling Shu is Professor of Sociology at the University of California, Davis.
