Knowledge Discovery in the Social Sciences (ePub)
A Data Mining Approach
(Sprache: Englisch)
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...
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Produktinformationen zu „Knowledge Discovery in the Social Sciences (ePub)“
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
Autoren-Porträt von Xiaoling Shu
Xiaoling Shu is Professor of Sociology at the University of California, Davis.
Bibliographische Angaben
- Autor: Xiaoling Shu
- 2020, 1. Auflage, 264 Seiten, Englisch
- Verlag: University of California Press
- ISBN-10: 0520965876
- ISBN-13: 9780520965874
- Erscheinungsdatum: 10.01.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 15 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
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