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MDAI
2007
Springer
15 years 10 months ago
Mining Frequent Diamond Episodes from Event Sequences
In this paper, we introduce a diamond episode of the form s1 → E → s2, where s1 and s2 are events and E is a set of events. The diamond episode s1 → E → s2 means that every...
Takashi Katoh, Kouichi Hirata, Masateru Harao
DIS
2006
Springer
15 years 8 months ago
Mining Sectorial Episodes from Event Sequences
In this paper, we introduce a sectorial episode of the form C r, where C is a set of events and r is an event. The sectorial episode C r means that every event of C is followed b...
Takashi Katoh, Kouichi Hirata, Masateru Harao
JIIS
1998
161views more  JIIS 1998»
15 years 4 months ago
Mining Text Using Keyword Distributions
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Ido Dagan, Haym Hirsh
SOCA
2007
IEEE
15 years 11 months ago
Context-aware Process Support through Automatic Selection and Invocation of Semantic Web Services
Current technologies aimed at supporting processes – whether it is a business process or a learning process – are usually based on using a dedicated set of metadata to describ...
Stefan Dietze, Alessio Gugliotta, John Domingue
RIDE
2003
IEEE
15 years 9 months ago
On Database Support for Multilingual Environments
Global e-Commerce and mass-outreach e-Governance programs have brought into sharp focus the need for database systems to store and manipulate text data efficiently in a suite of ...
A. Kumaran, Jayant R. Haritsa