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» Scrutinizing Frequent Pattern Discovery Performance
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ICDE
2010
IEEE
750views Database» more  ICDE 2010»
15 years 4 months ago
Efficient and accurate discovery of patterns in sequence datasets
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
15 years 4 months ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
94
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EDBT
2009
ACM
138views Database» more  EDBT 2009»
15 years 6 months ago
FOGGER: an algorithm for graph generator discovery
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
15 years 4 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
FIMI
2004
212views Data Mining» more  FIMI 2004»
15 years 1 months ago
A Space Optimization for FP-Growth
Frequency mining problem comprises the core of several data mining algorithms. Among frequent pattern discovery algorithms, FP-GROWTH employs a unique search strategy using compac...
Eray Özkural, Cevdet Aykanat