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IJCAI
2003
13 years 11 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 3 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
ICANN
2005
Springer
14 years 3 months ago
Manifold Constrained Variational Mixtures
In many data mining applications, the data manifold is of lower dimension than the dimension of the input space. In this paper, it is proposed to take advantage of this additional ...
Cédric Archambeau, Michel Verleysen
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
14 years 10 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
HICSS
2002
IEEE
130views Biometrics» more  HICSS 2002»
14 years 3 months ago
A Set Theory Based Approach on Applying Domain Semantics to XML Structures
As XML is gathering more and more importance in the field of data interchange in distributed business to business (B2B) applications, it is increasingly important to provide a for...
Wolfgang Schuetzelhofer, Karl M. Göschka