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TKDE
2008
125views more  TKDE 2008»
13 years 5 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
TKDE
2008
156views more  TKDE 2008»
13 years 5 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang
TKDE
2008
133views more  TKDE 2008»
13 years 5 months ago
Streaming Time Series Summarization Using User-Defined Amnesic Functions
The past decade has seen a wealth of research on time series representations, because the manipulation, storage, and indexing of large volumes of raw time series data is impractica...
Themis Palpanas, Michail Vlachos, Eamonn J. Keogh,...
TKDE
2008
127views more  TKDE 2008»
13 years 5 months ago
Maximal Subspace Coregulated Gene Clustering
Clustering is a popular technique for analyzing microarray data sets, with n genes and m experimental conditions. As explored by biologists, there is a real need to identify coregu...
Yuhai Zhao, Jeffrey Xu Yu, Guoren Wang, Lei Chen 0...
TKDE
2008
137views more  TKDE 2008»
13 years 5 months ago
GossipTrust for Fast Reputation Aggregation in Peer-to-Peer Networks
Abstract-- In peer-to-peer (P2P) networks, reputation aggregation and peer ranking are the most time-consuming and spacedemanding operations. This paper proposes a gossip-based rep...
Runfang Zhou, Kai Hwang, Min Cai