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» Defining the Goals to Optimise Data Mining Performance
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HPCN
1999
Springer
13 years 12 months ago
The Digital Puglia Project: An Active Digital Library of Remote Sensing Data
The growing need of software infrastructure able to create, maintain and ease the evolution of scientific data, promotes the development of digital libraries in order to provide th...
Giovanni Aloisio, Massimo Cafaro, Roy Williams
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
Christoph F. Eick, Chun-Sheng Chen, Michael D. Twa...
PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
14 years 1 months ago
A Probabilistic Clustering-Projection Model for Discrete Data
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
DOLAP
2004
ACM
14 years 1 months ago
Beyond data warehousing: what's next in business intelligence?
During the last ten years the approach to business management has deeply changed, and companies have understood the importance of enforcing achievement of the goals defined by the...
Matteo Golfarelli, Stefano Rizzi, Iuris Cella
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin