<--- Back to Details
First PageDocument Content
Data mining / Geostatistics / SUBCLU / Biclustering / Clustering high-dimensional data / Association rule learning / DBSCAN / Computer cluster / Consensus clustering / Statistics / Cluster analysis / Data analysis
Date: 2011-08-29 12:12:40
Data mining
Geostatistics
SUBCLU
Biclustering
Clustering high-dimensional data
Association rule learning
DBSCAN
Computer cluster
Consensus clustering
Statistics
Cluster analysis
Data analysis

When Pattern Met Subspace Cluster a Relationship Story Jilles Vreeken1 and Arthur Zimek2 1 Advanced Database Research and Modeling, Universiteit Antwerpen, Belgium

Add to Reading List

Source URL: ceur-ws.org

Download Document from Source Website

File Size: 351,06 KB

Share Document on Facebook

Similar Documents

Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

DocID: 1rqpx - View Document

Creedo—Scalable and Repeatable Extrinsic Evaluation for Pattern Discovery Systems by Online User Studies Mario Boley, Maike Krause-Traudes, Bo Kang and Björn Jacobs University of Bonn and Fraunhofer IAIS Schloss Birli

Creedo—Scalable and Repeatable Extrinsic Evaluation for Pattern Discovery Systems by Online User Studies Mario Boley, Maike Krause-Traudes, Bo Kang and Björn Jacobs University of Bonn and Fraunhofer IAIS Schloss Birli

DocID: 1rk1X - View Document

Fast estimation of the pattern frequency spectrum Matthijs van Leeuwen1 and Antti Ukkonen2 1  2

Fast estimation of the pattern frequency spectrum Matthijs van Leeuwen1 and Antti Ukkonen2 1 2

DocID: 1rjts - View Document

A Comparison of Techniques for Selecting and Combining Class Association Rules Jan-Nikolas Sulzmann and Johannes F¨ urnkranz Department of Computer Science, TU Darmstadt Hochschulstr. 10, DDarmstadt, Germany

A Comparison of Techniques for Selecting and Combining Class Association Rules Jan-Nikolas Sulzmann and Johannes F¨ urnkranz Department of Computer Science, TU Darmstadt Hochschulstr. 10, DDarmstadt, Germany

DocID: 1re1r - View Document

Assessing Data Mining Results via Swap Randomization ARISTIDES GIONIS Yahoo! Research HEIKKI MANNILA University of Helsinki and Helsinki University of Technology

Assessing Data Mining Results via Swap Randomization ARISTIDES GIONIS Yahoo! Research HEIKKI MANNILA University of Helsinki and Helsinki University of Technology

DocID: 1r87j - View Document