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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 3 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 7 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 8 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
IEEEIAS
2007
IEEE
14 years 1 months ago
Cyber Threat Trend Analysis Model Using HMM
Prevention, not reaction, is normally recognized as one of the best defense strategy against malicious hackers or attackers. The desire of deploying better prevention mechanism mo...
Do-Hoon Kim, Taek Lee, Sung-Oh David Jung, Hoh Pet...
KDD
1997
ACM
146views Data Mining» more  KDD 1997»
13 years 11 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...