Business intelligence and data mining / Anil K. Maheshwari.

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 o...

Full description

Saved in:
Bibliographic Details
Main Author: Maheshwari, Anil, 1949- (Author)
Format: eBook
Language:English
Published: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2015.
Edition:First edition.
Series:Big data and business analytics.
Subjects:
Online Access:Click for online access

MARC

LEADER 00000cam a2200000 i 4500
001 ocn900878630
003 OCoLC
005 20241006213017.0
006 m eo d
007 cr |||||||||||
008 150126s2015 nyu foab 001 0 eng d
010 |a  2016429223 
040 |a NYBEP  |b eng  |e rda  |e pn  |c NYBEP  |d OCLCO  |d E7B  |d OCLCF  |d EBLCP  |d IDEBK  |d WEA  |d YDXCP  |d N$T  |d CUS  |d OCLCO  |d ICA  |d BTCTA  |d AGLDB  |d UAB  |d OTZ  |d OCLCQ  |d TEFOD  |d UPM  |d MERUC  |d BUF  |d VNS  |d VTS  |d STF  |d LOA  |d CUY  |d ZCU  |d ICG  |d K6U  |d VT2  |d U3W  |d CNCEN  |d OCLCQ  |d WYU  |d G3B  |d LVT  |d S8J  |d S9I  |d D6H  |d DKC  |d TJC  |d OCLCA  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCL  |d OCLCQ  |d UEJ  |d OCLCQ 
019 |a 899942099  |a 904036452  |a 910983477  |a 1066464563  |a 1081283120  |a 1228614566 
020 |a 9781631571213  |q (electronic bk.) 
020 |a 1631571214  |q (electronic bk.) 
020 |z 9781631571206  |q (paperback) 
020 |z 1631571206 
035 |a (OCoLC)900878630  |z (OCoLC)899942099  |z (OCoLC)904036452  |z (OCoLC)910983477  |z (OCoLC)1066464563  |z (OCoLC)1081283120  |z (OCoLC)1228614566 
037 |a D89F32EE-BB05-41B4-9358-005F95E9A587  |b OverDrive, Inc.  |n http://www.overdrive.com 
050 4 |a HF54.5  |b .M243 2015 
072 7 |a BUS  |x 082000  |2 bisacsh 
072 7 |a BUS  |x 041000  |2 bisacsh 
072 7 |a BUS  |x 042000  |2 bisacsh 
072 7 |a BUS  |x 085000  |2 bisacsh 
049 |a HCDD 
100 1 |a Maheshwari, Anil,  |d 1949-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjF444MVt33Tpy4ftmGg83 
245 1 0 |a Business intelligence and data mining /  |c Anil K. Maheshwari. 
250 |a First edition. 
264 1 |a New York, New York (222 East 46th Street, New York, NY 10017) :  |b Business Expert Press,  |c 2015. 
300 |a 1 online resource (1 PDF (xiv, 162 pages)). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Big data and business analytics collection,  |x 2333-6757 
500 |a Title from PDF title page (viewed on January 26, 2015). 
504 |a Includes bibliographical references (pages 157-158) and index. 
505 0 |a 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. 
520 3 |a 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 primer on data modeling is included for those uninitiated in this topic. 
650 0 |a Business information services. 
650 0 |a Data mining. 
650 0 |a Business intelligence. 
650 7 |a BUSINESS & ECONOMICS  |x Industrial Management.  |2 bisacsh 
650 7 |a BUSINESS & ECONOMICS  |x Management.  |2 bisacsh 
650 7 |a BUSINESS & ECONOMICS  |x Management Science.  |2 bisacsh 
650 7 |a BUSINESS & ECONOMICS  |x Organizational Behavior.  |2 bisacsh 
650 7 |a Business information services  |2 fast 
650 7 |a Business intelligence  |2 fast 
650 7 |a Data mining  |2 fast 
758 |i has work:  |a Business intelligence and data mining (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGxHqffHFCK6QJkk8K9fYP  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |z 9781631571206 
830 0 |a Big data and business analytics. 
856 4 0 |u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1911815  |y Click for online access 
903 |a EBC-AC 
994 |a 92  |b HCD