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KDD
2001
ACM
169views Data Mining» more  KDD 2001»
15 years 10 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
15 years 10 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
PVLDB
2010
135views more  PVLDB 2010»
14 years 8 months ago
Similarity Search and Mining in Uncertain Databases
Managing, searching and mining uncertain data has achieved much attention in the database community recently due to new sensor technologies and new ways of collecting data. There ...
Matthias Renz, Reynold Cheng, Hans-Peter Kriegel, ...
CN
2006
163views more  CN 2006»
14 years 10 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
GIS
2008
ACM
15 years 11 months ago
Discovering controlling factors of geospatial variables
Efficient means of determining factors controlling spatial distribution of an environmental class variable are of significant interest in Earth science. In this paper, we present ...
Tomasz F. Stepinski, Wei Ding 0003, Christoph F. E...