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» Mining association rules in very large clustered domains
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JCDL
2006
ACM
172views Education» more  JCDL 2006»
14 years 2 months ago
A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE
Document clustering has been used for better document retrieval, document browsing, and text mining in digital library. In this paper, we perform a comprehensive comparison study ...
Illhoi Yoo, Xiaohua Hu
VLDB
1998
ACM
147views Database» more  VLDB 1998»
14 years 24 days ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
IDA
2005
Springer
14 years 2 months ago
From Local Pattern Mining to Relevant Bi-cluster Characterization
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
Ruggero G. Pensa, Jean-François Boulicaut
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
14 years 24 days 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...
FQAS
2004
Springer
146views Database» more  FQAS 2004»
14 years 9 days ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina