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» Mining evolving data streams for frequent patterns
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CIKM
2005
Springer
15 years 3 months ago
Frequent pattern discovery with memory constraint
We explore in this paper a practicably interesting mining task to retrieve frequent itemsets with memory constraint. As opposed to most previous works that concentrate on improvin...
Kun-Ta Chuang, Ming-Syan Chen
64
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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
15 years 10 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...
ICDCN
2011
Springer
14 years 1 months ago
Mining Frequent Subgraphs to Extract Communication Patterns in Data-Centres
In this paper, we propose to use graph-mining techniques to understand the communication pattern within a data-centre. We model the communication observed within a data-centre as a...
Maitreya Natu, Vaishali P. Sadaphal, Sangameshwar ...
AICCSA
2008
IEEE
216views Hardware» more  AICCSA 2008»
14 years 9 months ago
Mining fault tolerant frequent patterns using pattern growth approach
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...
Shariq Bashir, Zahid Halim, Abdul Rauf Baig
ICTAI
2007
IEEE
15 years 4 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...