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» CMTreeMiner: Mining Both Closed and Maximal Frequent Subtree...
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PAKDD
2004
ACM
186views Data Mining» more  PAKDD 2004»
13 years 10 months ago
CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees
Abstract. Tree structures are used extensively in domains such as computational biology, pattern recognition, XML databases, computer networks, and so on. One important problem in ...
Yun Chi, Yirong Yang, Yi Xia, Richard R. Muntz
ML
2010
ACM
210views Machine Learning» more  ML 2010»
13 years 3 months ago
Mining frequent closed rooted trees
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
José L. Balcázar, Albert Bifet, Anto...
PKDD
2007
Springer
147views Data Mining» more  PKDD 2007»
13 years 11 months ago
MINI: Mining Informative Non-redundant Itemsets
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
Arianna Gallo, Tijl De Bie, Nello Cristianini
EDBT
2009
ACM
138views Database» more  EDBT 2009»
13 years 12 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