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» A hybrid approach to mining frequent sequential patterns
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BIBM
2007
IEEE
133views Bioinformatics» more  BIBM 2007»
14 years 9 months ago
Mining Clinical Data with a Temporal Dimension: A Case Study
Clinical databases store large amounts of information about patients and their medical conditions. Data mining techniques can extract relationships and patterns holding in this we...
Michele Berlingerio, Francesco Bonchi, Fosca Giann...
GIS
2004
ACM
15 years 10 months ago
A partial join approach for mining co-location patterns
Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. We identified the computational bottleneck in the...
Jin Soung Yoo, Shashi Shekhar
75
Voted
DATE
2005
IEEE
125views Hardware» more  DATE 2005»
15 years 3 months ago
Hybrid BIST Based on Repeating Sequences and Cluster Analysis
We present a hybrid BIST approach that extracts the most frequently occurring sequences from deterministic test patterns; these extracted sequences are stored on-chip. We use clus...
Lei Li, Krishnendu Chakrabarty
IS
2007
14 years 9 months ago
Discovering frequent geometric subgraphs
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
Michihiro Kuramochi, George Karypis
IDA
2009
Springer
14 years 7 months ago
Mining the Temporal Dimension of the Information Propagation
In the last decade, Social Network Analysis has been a field in which the effort devoted from several researchers in the Data Mining area has increased very fast. Among the possibl...
Michele Berlingerio, Michele Coscia, Fosca Giannot...