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» Mining Frequent Itemsets in Distributed and Dynamic Database...
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ICDE
2008
IEEE
133views Database» more  ICDE 2008»
15 years 4 months ago
Discovering popular co-cited communities in blogspaces
In a blogspace, citation behaviors reflect interests of bloggers. To fully get insight into the latent information in a blogspace, in this paper, we intend to mine popular co-cit...
Meng-Fen Chiang, Wen-Chih Peng, Chia-Hao Lo
PODS
2006
ACM
217views Database» more  PODS 2006»
15 years 9 months ago
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
Lap-Kei Lee, H. F. Ting
157
Voted
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
15 years 11 months ago
A Partition-Based Approach to Graph Mining
Existing graph mining algorithms typically assume that databases are relatively static and can fit into the main memory. Mining of subgraphs in a dynamic environment is currently ...
Junmei Wang, Wynne Hsu, Mong-Li Lee, Chang Sheng
DPD
2010
158views more  DPD 2010»
14 years 7 months ago
DYFRAM: dynamic fragmentation and replica management in distributed database systems
In distributed database systems, tables are frequently fragmented and replicated over a number of sites in order to reduce network communication costs. How to fragment, when to rep...
Jon Olav Hauglid, Norvald H. Ryeng, Kjetil N&oslas...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 10 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan