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NOMS
2002
IEEE
127views Communications» more  NOMS 2002»
14 years 1 months ago
Intelligent search of correlated alarms from database containing noise data
Alarm correlation plays an important role in improving the service and reliability in modern telecommunication networks. Most previous research of alarm correlation didn’t consi...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 8 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
KDD
2003
ACM
99views Data Mining» more  KDD 2003»
14 years 8 months ago
Fragments of order
High-dimensional collections of 0-1 data occur in many applications. The attributes in such data sets are typically considered to be unordered. However, in many cases there is a n...
Aristides Gionis, Teija Kujala, Heikki Mannila
VLDB
2005
ACM
177views Database» more  VLDB 2005»
14 years 1 months ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins
TKDE
2008
125views more  TKDE 2008»
13 years 8 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