Pattern discovery in time-oriented data

Saraee, MH; Theodoulidis, B; Koundourakis, G

Abstract

We present a data mining system, EasyMiner which has been developed for interactive mining
of interesting patterns in time-oriented databases. This system implements a wide spectrum of
data mining functions, including generalisation, characterisation, classification, association and
relevant analysis. By enhancing several interesting data mining techniques, including attribute
induction and association rule mining to handle time-oriented data the system provide a user
friendly, interactive data mining environment with good performance. These algorithms were
tested on time-oriented medical data and experimental results show that the algorithms are
efficient and effective for discovery of pattern in databases.

Citation

Saraee, M., Theodoulidis, B., & Koundourakis, G. (1998, November). Pattern discovery in time-oriented data. Presented at International Conference on Advances in Pattern Recognition, Plymouth, England

• Presentation Conference Type: Other
• Conference Name: International Conference on Advances in Pattern Recognition
• Conference Location: Plymouth, England
• Start Date: Nov 23, 1998
• End Date: Nov 25, 1998
• Publication Date: Jan 1, 1998
• Deposit Date: Oct 27, 2011
• Publicly Available Date: Apr 5, 2016
• Publisher URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.498
• Additional Information: Event Type : Conference