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» Crime Pattern Detection Using Data Mining
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PARMA
2004
106views Database» more  PARMA 2004»
14 years 11 months ago
The Notion of Similarity in Data and Pattern Spaces
In the recent years, our ability of collecting information rapidly increases and huge databases that change over time in a high frequency have been developed. On the other hand, th...
Irene Ntoutsi
ICDM
2007
IEEE
199views Data Mining» more  ICDM 2007»
15 years 3 months ago
Discovering Structural Anomalies in Graph-Based Data
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder
AMW
2010
14 years 11 months ago
Robust Clustering of Data Streams using Incremental Optimization
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Basheer Hawwash, Olfa Nasraoui
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
14 years 10 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
91
Voted
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
14 years 11 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi