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APIN
2005
107views more  APIN 2005»
13 years 8 months ago
Multi-Instance Learning Based Web Mining
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, ...
Zhi-Hua Zhou, Kai Jiang, Ming Li
SIGKDD
2008
124views more  SIGKDD 2008»
13 years 8 months ago
WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report
WebKDD was held in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), August 24, 2008, in Henderson/Las Vegas, Nevada...
Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaï...
PKDD
2004
Springer
144views Data Mining» more  PKDD 2004»
14 years 1 months ago
SEWeP: A Web Mining System Supporting Semantic Personalization
We present SEWeP, a Web Personalization prototype system that integrates usage data with content semantics, expressed in taxonomy terms, in order to produce a broader yet semantica...
Stratos Paulakis, Charalampos Lampos, Magdalini Ei...
ADC
2006
Springer
188views Database» more  ADC 2006»
14 years 2 months ago
Discovering task-oriented usage pattern for web recommendation
Web transaction data usually convey user task-oriented behaviour pattern. Web usage mining technique is able to capture such informative knowledge about user task pattern from usa...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
KAIS
2011
129views more  KAIS 2011»
13 years 3 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis