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» Detecting Connection-Chains: A Data Mining Approach
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ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
14 years 2 months ago
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
SDM
2004
SIAM
253views Data Mining» more  SDM 2004»
13 years 9 months ago
Density-Connected Subspace Clustering for High-Dimensional Data
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 8 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 7 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
CAISE
2006
Springer
13 years 11 months ago
Data Conceptualisation for Web-Based Data-Centred Application Design
The paper describes the conceptualisation process in the ReQuest approach, a wide-spectrum methodology for web-based information systems analysis and development. This methodology ...
Julien Vilz, Anne-France Brogneaux, Ravi Ramdoyal,...