Abstract
This book addresses the basic aspect of data mining , descriptive analytics . As stated in the preface, this concerns studying what has happened, looking at various forms of statistics to gain understanding of the state of whatever field is being examined. The book begins with a chapter on knowledge management , seeking to provide a context of analytics in the overall framework of information management.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Olson, D.L. (2017). Descriptive Data Mining. In: Descriptive Data Mining. Computational Risk Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-3340-7_8
Download citation
DOI: https://doi.org/10.1007/978-981-10-3340-7_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3339-1
Online ISBN: 978-981-10-3340-7
eBook Packages: Business and ManagementBusiness and Management (R0)