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KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 7 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
CIKM
2008
Springer
13 years 9 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
PAKDD
2010
ACM
203views Data Mining» more  PAKDD 2010»
14 years 5 days ago
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph
Both itemset mining and graph mining have been studied independently. Here, we introduce a novel data structure, which is an unweighted graph whose vertices contain itemsets. From ...
Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun S...
EDBT
2008
ACM
138views Database» more  EDBT 2008»
14 years 7 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...
ICSM
2003
IEEE
14 years 20 days ago
Mining Design Patterns from C++ Source Code
Design patterns are micro architectures that have proved to be reliable, easy-to implement and robust. There is a need in science and industry for recognizing these patterns. We p...
Zsolt Balanyi, Rudolf Ferenc