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» Mining Closed Gradual Patterns
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SIGMOD
2008
ACM
136views Database» more  SIGMOD 2008»
15 years 12 months ago
Mining relationships among interval-based events for classification
Existing temporal pattern mining assumes that events do not have any duration. However, events in many real world applications have durations, and the relationships among these ev...
Dhaval Patel, Wynne Hsu, Mong-Li Lee
KDD
2010
ACM
232views Data Mining» more  KDD 2010»
15 years 3 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
15 years 6 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
KAIS
2010
139views more  KAIS 2010»
14 years 10 months ago
Periodic subgraph mining in dynamic networks
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
Mayank Lahiri, Tanya Y. Berger-Wolf
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
15 years 3 months ago
Frequent regular itemset mining
Concise representations of frequent itemsets sacrifice readability and direct interpretability by a data analyst of the concise patterns extracted. In this paper, we introduce an...
Salvatore Ruggieri