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ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
14 years 4 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
SCN
2008
Springer
136views Communications» more  SCN 2008»
13 years 10 months ago
An efficient data structure for network anomaly detection
Abstract-- Despite the rapid advance in networking technologies, detection of network anomalies at high-speed switches/routers is still far from maturity. To push the frontier, two...
Jieyan Fan, Dapeng Wu, Kejie Lu, Antonio Nucci
STACS
2012
Springer
12 years 5 months ago
Linear-Space Data Structures for Range Mode Query in Arrays
A mode of a multiset S is an element a ∈ S of maximum multiplicity; that is, a occurs at least as frequently as any other element in S. Given an array A[1 : n] of n elements, we...
Timothy M. Chan, Stephane Durocher, Kasper Green L...
SEMWEB
2007
Springer
14 years 4 months ago
YARS2: A Federated Repository for Querying Graph Structured Data from the Web
We present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collecte...
Andreas Harth, Jürgen Umbrich, Aidan Hogan, S...
AAAI
2000
13 years 11 months ago
Learning the Common Structure of Data
The proliferation of online information sources has accentuated the need for tools that automatically validate and recognize data. We present an efficient algorithm that learns st...
Kristina Lerman, Steven Minton