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CIIA
2009
13 years 10 months ago
Ontology-Driven Method for Ranking Unexpected Rules
Several rule discovery algorithms have the disadvantage to discover too much patterns sometimes obvious, useless or not very interesting to the user. In this paper we propose a new...
Mohamed Said Hamani, Ramdane Maamri
GCC
2003
Springer
14 years 2 months ago
Automated Detection of Design Patterns
: Detection of instances of design patterns is useful for the software maintenance. This paper proposes a new framework for the automated detection of instances of design patterns....
Zhixiang Zhang, Qinghua Li
GCB
2000
Springer
99views Biometrics» more  GCB 2000»
14 years 1 months ago
Structure Motif Discovery and Mining the PDB
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...
Inge Jonassen, Ingvar Eidhammer, Darrell Conklin, ...
KDD
1995
ACM
95views Data Mining» more  KDD 1995»
14 years 1 months ago
On Subjective Measures of Interestingness in Knowledge Discovery
One of the central problems in the field of knowledge discovery is the development of good measures of interestingness of discovered patterns. Such measures of interestingness are...
Abraham Silberschatz, Alexander Tuzhilin
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
14 years 1 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...