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Pattern discovery in time-oriented data

Saraee, MH; Theodoulidis, B; Koundourakis, G

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B Theodoulidis

G Koundourakis


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.


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
Additional Information Event Type : Conference


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