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VLDB
2005
ACM
180views Database» more  VLDB 2005»
15 years 11 months ago
Cache-conscious Frequent Pattern Mining on a Modern Processor
In this paper, we examine the performance of frequent pattern mining algorithms on a modern processor. A detailed performance study reveals that even the best frequent pattern min...
Amol Ghoting, Gregory Buehrer, Srinivasan Parthasa...
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 10 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
PAKDD
2005
ACM
100views Data Mining» more  PAKDD 2005»
15 years 11 months ago
Pushing Tougher Constraints in Frequent Pattern Mining
In this paper we extend the state-of-art of the constraints that can be pushed in a frequent pattern computation. We introduce a new class of tough constraints, namely Loose Anti-m...
Francesco Bonchi, Claudio Lucchese
DASFAA
2010
IEEE
127views Database» more  DASFAA 2010»
15 years 6 months ago
PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns
Gradual patterns highlight complex order correlations of the form “The more/less X, the more/less Y”. Only recently algorithms have appeared to mine efficiently gradual rules. ...
Anne Laurent, Benjamin Négrevergne, Nicolas...
DAWAK
2007
Springer
16 years 15 days ago
Mining Trajectory Patterns Using Hidden Markov Models
Many studies of spatiotemporal pattern discovery partition data space into disjoint cells for effective processing. However, the discovery accuracy of the space-partitioning schem...
Hoyoung Jeung, Heng Tao Shen, Xiaofang Zhou