Business intelligence and data mining

by Maheshwari, Anil

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Title Statements

Full title :Business intelligence and data mining / Anil K. Maheshwari.

Summary

Business is the act of doing something productive to serve someone's needs, and thus earn a living, and make the world a better place. Business activities are recorded on paper or using electronic media, and then these records become data. There is more data from customers' responses and on the industry as a whole. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business so that it can evolve to become more effective and efficient in serving customer needs. And the cycle continues on. Business intelligence includes tools and techniques for data gathering, analysis, and visualization for helping with executive decision making in any industry. Data mining includes statistical and machine-learning techniques to build decision-making models from raw data. Data mining techniques covered in this book include decision trees, regression, artificial neural networks, cluster analysis, and many more. Text mining, web mining, and big data are also covered in an easy way. A primeron data modeling is included for those uninitiated in this topic.

Edition Statements

Publication Date:2015.
Edition:First edition

Publication Statements

Publisher(s):Business Expert Press
Place of Publication:New York, New York (222 East 46th Street, New York, NY 10017)
Language:eng
Publication Date:2015.

Notes

Title from PDF title page (viewed on January 26, 2015).

The Physical Object

Description:1 ressource en ligne (1 PDF (xiv, 162 pages)).

Edition Identifiers

ISBN:1631571214, 9781631571213
oclc:on1335026406
LC Classification:HF54.5
Dewey Decimal:658.4038

1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index.

Subjects

Affaires -- Services d'information Business information services Business intelligence Data Mining Espionnage industriel Exploration de données (Informatique) Livres numériques