Association rules & evolution in time

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2308, Issue , 2002, Pages 261-272

  Koundourakis, George ^a   Theodoulidis, Babis ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; TREES (MATHEMATICS);

MINING ASSOCIATIONS; SUPPORT AND CONFIDENCE; TEMPORAL RULES;

ASSOCIATION RULES;

EID: 51149112587     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-46014-4_24     Document Type: Article

References (5)

1. Mohammed J. Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara and Wei Li. New Algorithms for Fast Discovery of Association Rules. Technical Report 651, University of Rochester, Computer Science Department, New York, July 1997.
2. George Koundourakis. En Visioner: A Data Mining Framework Based On Decision Trees. A Thesis submitted to the University of Manchester Institute of Science and Technology for the degree of Doctor of Philosophy in December, 2001.
3. Parsaye, K., Rules Are Much More Than Decision Trees. The Journal of Data Warehousing, December 1996.
4. Micheline Kamber, Lara Winstone, Wan Gong, Shan Cheng, and Jiawei Han. Generalisation and Decision Tree Induction: Efficient Classification in Data Mining. In Proc. of 1997 Int’l Workshop on Research Issues on Data Engineering (RIDE’97), pages. 111-120, Birmingham, England, April 1997.
5. Mohamad Hosssein Saraee. TempoMiner: Towards Mining Time-Oriented Data. Ph.D. Thesis submitted to the University of Manchester Institute of Science and Technology, 2000.