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» Graph Mining based on a Data Partitioning Approach
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93
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CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 24 days ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
108
Voted
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
16 years 1 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...
ICDM
2008
IEEE
129views Data Mining» more  ICDM 2008»
15 years 7 months ago
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions
In this paper we study the problem of mining frequent sequences satisfying a given regular expression. Previous approaches to solve this problem were focusing on its search space,...
Roberto Trasarti, Francesco Bonchi, Bart Goethals
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 2 months ago
Proximity Tracking on Time-Evolving Bipartite Graphs
Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...
SDM
2008
SIAM
114views Data Mining» more  SDM 2008»
15 years 2 months ago
Semi-Supervised Classification with Universum
The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhan...