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DAWAK
2000
Springer
13 years 12 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese
PAMI
2007
202views more  PAMI 2007»
13 years 7 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...