Business applications of data mining

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Business applications of data mining

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Communications of the ACM archive
Volume 45 , Issue 8 (August 2002) table of contents
Evolving data mining into solutions for insights

SPECIAL ISSUE: Evolving data mining into solutions for insights table of contents

Pages: 49 - 53

Year of Publication: 2002

ISSN:0001-0782

Authors

Chidanand Apte	T.J. Watson Research Center, Yorktown Heights, NY.
Bing Liu	Department of Computer Science at the University of Illinois at Chicago.
Edwin P. D. Pednault	Watson Research Center, Yorktown, NY.
Padhraic Smyth	Information and Computer Science Department at the University of California, Irvine.

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 37, Downloads (12 Months): 495, Citation Count: 12

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abstract references cited by index terms collaborative colleagues

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ABSTRACT

They help identify and predict individual, as well as aggregate, behavior, as illustrated by four application domains: direct mail, retail, automobile insurance, and health care.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	C. Apte , E. Bibelnieks , R. Natarajan , E. Pednault , F. Tipu , D. Campbell , B. Nelson, Segmentation-based modeling for advanced targeted marketing, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.408-413, August 26-29, 2001, San Francisco, California [doi>10.1145/502512.502573]
	2	Chidanand Apte , Edna Grossman , Edwin P. D. Pednault , Barry K. Rosen , Fateh A. Tipu , Brian White, Probabilistic Estimation-Based Data Mining for Discovering Insurance Risks, IEEE Intelligent Systems, v.14 n.6, p.49-58, November 1999 [doi>10.1109/5254.809568]
	3	Igor V. Cadez , Padhraic Smyth , Heikki Mannila, Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.37-46, August 26-29, 2001, San Francisco, California [doi>10.1145/502512.502523]
	4	Wynne Hsu , Mong Li Lee , Bing Liu , Tok Wang Ling, Exploration mining in diabetic patients databases: findings and conclusions, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.430-436, August 20-23, 2000, Boston, Massachusetts, United States [doi>10.1145/347090.347180]
	5	Bing Liu , Minqing Hu , Wynne Hsu, Multi-level organization and summarization of the discovered rules, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.208-217, August 20-23, 2000, Boston, Massachusetts, United States [doi>10.1145/347090.347128]

CITED BY 12

	Chun-Nan Hsu , Hao-Hsiang Chung , Han-Shen Huang, Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation, Machine Learning, v.57 n.1-2, p.35-59, October-November 2004
	William E. Spangler , Mordechai Gal-Or , Jerrold H. May, Using data mining to profile TV viewers, Communications of the ACM, v.46 n.12, p.66-72, December 2003
	Huan Liu , Lei Yu, Toward Integrating Feature Selection Algorithms for Classification and Clustering, IEEE Transactions on Knowledge and Data Engineering, v.17 n.4, p.491-502, April 2005
	Heikki Topi , Wendy Lucas, Mix and match: combining terms and operators for successful web searches, Information Processing and Management: an International Journal, v.41 n.4, p.801-817, July 2005
	A. Dorneich , R. Natarajan , E. Pednault , F. Tipu, Embedded predictive modeling in a parallel relational database, Proceedings of the 2006 ACM symposium on Applied computing, April 23-27, 2006, Dijon, France
	Ling Qiu , Kok-Leong Ong , Siu Man Lui, Safely delegating data mining tasks, Proceedings of the fifth Australasian conference on Data mining and analystics, p.1-7, November 29-30, 2006, Sydney, Australia
	Ramesh Natarajan , Radu Sion , Thomas Phan, A grid-based approach for enterprise-scale data mining, Future Generation Computer Systems, v.23 n.1, p.48-54, January 2007
	Sheng-Tun Li , Shu-Ching Kuo, Knowledge discovery in financial investment for forecasting and trading strategy through wavelet-based SOM networks, Expert Systems with Applications: An International Journal, v.34 n.2, p.935-951, February, 2008
	Christine Kiss , Martin Bichler, Identification of influencers - Measuring influence in customer networks, Decision Support Systems, v.46 n.1, p.233-253, December, 2008
	Michael Brydon , Andrew Gemino, Classification trees and decision-analytic feedforward control: a case study from the video game industry, Data Mining and Knowledge Discovery, v.17 n.2, p.317-342, October 2008
	Ling Qiu , Yingjiu Li , Xintao Wu, Protecting business intelligence and customer privacy while outsourcing data mining tasks, Knowledge and Information Systems, v.17 n.1, p.99-120, October 2008
	Bruno Norberto Da Silva , Ana Cristina , Bicharra Garcia, KA-CAPTCHA: an opportunity for knowledge acquisition on the web, Proceedings of the 22nd national conference on Artificial intelligence, p.1322-1327, July 22-26, 2007, Vancouver, British Columbia, Canada