A practical guide to data mining for business and industry
Resource Information
The work A practical guide to data mining for business and industry represents a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
A practical guide to data mining for business and industry
Resource Information
The work A practical guide to data mining for business and industry represents a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- A practical guide to data mining for business and industry
- Statement of responsibility
- Andrea Ahlemeyer-Stubbe, Shirley Coleman
- Language
- eng
- Summary
- "Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest."--
- Assigning source
- Unedited summary from book
- Cataloging source
- DLC
- Dewey number
- 006.3/12
- Index
- index present
- LC call number
- HF5415.125
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
Context
Context of A practical guide to data mining for business and industryWork of
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- A practical guide to data mining for business and industry, Andrea Ahlemeyer-Stubbe, Shirley Coleman
- A practical guide to data mining for business and industry, Andrea Ahlemeyer-Stubbe, Shirley Coleman
- A practical guide to data mining for business and industry, Andrea Ahlemeyer-Stubbe, Shirley Coleman
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/resource/pUZ6O7fDYlk/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/resource/pUZ6O7fDYlk/">A practical guide to data mining for business and industry</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
