Data mining for managing marketing resources

Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Discount or incentive

Reexamination Certificate

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Reexamination Certificate

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07424439

ABSTRACT:
Data mining for managing marketing resources is disclosed. In one embodiment, a method for managing a marketing campaign includes the following. First, the method provides a data mining engine capable of being trained with training data and capable thereof of performing inference relative to the training data and on future data. Next, the method provides a user database defining observed characteristics of each one of a set of users. The characteristics include at least one of one or more user's attributes, and one or more of the user's preferences. Finally, the data mining engine is trained with a set of training data comprising the user data base, and a predetermined characteristic pertaining to the market campaign is input to the engine, such that, in response to the input, a subset of the users in the database is obtained that have the highest correlation to the characteristic.

REFERENCES:
patent: 5613041 (1997-03-01), Keeler et al.
patent: 5787274 (1998-07-01), Agrawal et al.
patent: 5794209 (1998-08-01), Agrawal et al.
patent: 5799311 (1998-08-01), Agrawal et al.
patent: 5870735 (1999-02-01), Agrawal et al.
patent: 5968125 (1999-10-01), Garrick et al.
patent: 5991735 (1999-11-01), Gerace
patent: 6026397 (2000-02-01), Sheppard
patent: 6061658 (2000-05-01), Chou et al.
patent: 6134532 (2000-10-01), Lazarus et al.
patent: 6154739 (2000-11-01), Wrobel
patent: 6212526 (2001-04-01), Chaudhuri et al.
patent: 6240411 (2001-05-01), Thearling
patent: 6260036 (2001-07-01), Almasi et al.
patent: 6286005 (2001-09-01), Cannon
patent: 6317752 (2001-11-01), Lee et al.
patent: 6334110 (2001-12-01), Walter et al.
patent: 6374251 (2002-04-01), Fayyad et al.
patent: 6430539 (2002-08-01), Lazarus et al.
patent: 6449612 (2002-09-01), Bradley et al.
patent: 6493637 (2002-12-01), Steeg
patent: 6571279 (2003-05-01), Herz et al.
patent: 6760727 (2004-07-01), Schroeder et al.
patent: 2001/0013009 (2001-08-01), Greening et al.
Fayyad, Usama. “The KDD process for extracting useful knowledge from volumes of data,” Association for Computing Machinery. Communications of the ACM, Nov. 1996 [retrieved from Proquest].
Filipczak, Bob. “Data-mining: 16 tons and what do you get?” Training, Mar. 1998 [retrieved from Proquest.
Mena, Jesus. “How to mine data in the Web. (includes related article on data collection techniques) (Drilling for Data) (Internet/Web/Online Service Information)(Cover Story),” Databased Web Advisor, Jul. 1997.
Heckerman, David. “Bayesian Networks for Data Mining,” Data Mining and Knowledge Discovery, 1997.
Ling et al. “Data Mining for Direct Marketing,” Department of Computer Science The University of Western Ohio, 1998.
Article from American Association for Artificial Intelligence entitled “From Digitized Images to Online Catalogs”, by Usama M. Fayyad, S.G. Djorgovski and Nicholas Weir, Summer 1996, pp. 51-66.
Article from New Scientist entitled “Planning for data”, by Robert Matthews, May 25, 1996, pp. 30-33.
Article from IEEE Expert entitled “Data Mining and Knowledge Discovery: Making Sense out of Data”, by Usama F. Fayyad, Aug. 1996, pp. 1-9.
Article from EDBT Conference entitled “SLIQ: A Fast Scalable Classifier for Data Mining”, by Manish Mehta, Rakesh Agrawal and Jorma Rissanen, dated 1996, 15 pgs.

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