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Knowledge Discovery in the Social Sciences
Knowledge Discovery in the Social Sciences
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€42.99
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A01=Prof. Xiaoling Shu
A01=Xiaoling Shu
academic
academic research
Age Group_Uncategorized
Age Group_Uncategorized
anova test
Author_Prof. Xiaoling Shu
Author_Xiaoling Shu
automatic-update
best fit model
box plot
Category1=Non-Fiction
Category=JHBC
causality
classification
collecting data
COP=United States
data mining
data processing
decision trees
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Language_English
matrix
PA=Available
Price_€20 to €50
PS=Active
regression
scholarly
scholarly research
scientific research
scientific study
social science
softlaunch
statistical analysis
statistics
text mining
variables
web mining
Product details
- ISBN 9780520292307
- Weight: 590g
- Dimensions: 178 x 254mm
- Publication Date: 04 Feb 2020
- Publisher: University of California Press
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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.
Knowledge Discovery in the Social Sciences
€42.99
