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» Towards Generic Pattern Mining
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AMW
2010
13 years 10 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
IDA
2006
Springer
13 years 8 months ago
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
IJSI
2008
115views more  IJSI 2008»
13 years 8 months ago
Towards Knowledge Acquisition from Semi-Structured Content
Abstract A rich family of generic Information Extraction (IE) techniques have been developed by researchers nowadays. This paper proposes WebKER, a system for automatically extract...
Xi Bai, Jigui Sun, Haiyan Che, Lian Shi
DAWAK
2007
Springer
14 years 14 days ago
Extraction of Association Rules Based on Literalsets
In association rules mining, current trend is witnessing the emergence of a growing number of works toward bringing negative items to light in the mined knowledge. However, the amo...
Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Ngui...
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
13 years 10 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