Using data mining methods to build customer profiles

Computer

Volumn 34, Issue 2, 2001, Pages 74-81

  Adomavicius, Gediminas ^a   Tuzhilin, Alexander ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CUSTOMER PROFILES; ONE TO ONE PROFILING SYSTEMS; RULE DISCOVERY; RULE VALIDATION; SIMILARITY BASED GROUPING; TEMPLATE BASED FILTERING;

ALGORITHMS; C (PROGRAMMING LANGUAGE); CLIENT SERVER COMPUTER SYSTEMS; COMPUTER SIMULATION; DATA STRUCTURES; EXPERT SYSTEMS; GRAPHICAL USER INTERFACES; JAVA PROGRAMMING LANGUAGE; KNOWLEDGE ACQUISITION; KNOWLEDGE REPRESENTATION; RELATIONAL DATABASE SYSTEMS; UNIX;

DATA MINING;

EID: 0035251446     PISSN: 00189162     EISSN: None     Source Type: Journal    
DOI: 10.1109/2.901170     Document Type: Article

References (4)

1. Comm. ACM, Special Issue on Personalization, vol. 43, no. 8, 2000.
2. D. Pyle, Data Preparation for Data Mining, Morgan Kaufmann, San Francisco, 1999.
3. J.B. Schafer, J.A. Konstan, and J. Riedl, "E-Commerce Recommendation Applications," J. Data Mining and Knowledge Discovery, Jan. 2001.
4. M. Cutler and J. Sterne, "E-Metrics," NetGenesis Corp., 2000; http://www. netgen.com/emetrics/.