Knowledge Discovery in the Social Sciences: A Data Mining Approach

Knowledge Discovery in the Social Sciences: A Data Mining Approach

Author
Xiaoling Shu
Publisher
University of California Press
Language
English
Year
2020
Page
264
ISBN
9780520965874
File Type
pdf
File Size
6.7 MiB

Knowledge Discovery in the Social Sciences helps readers findvalid, meaningful, and useful information. It is written for researchers and data analysts as well as studentswho 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 ofnewlydiscovered 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

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