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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 7 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
14 years 7 months ago
An environmental sensor network to determine drinking water quality and security
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...
IWCIA
2009
Springer
14 years 2 months ago
Signatures of Combinatorial Maps
Abstract. In this paper, we address the problem of computing a canonical representation of an n-dimensional combinatorial map. To do so, we define two combinatorial map signatures...
Stéphane Gosselin, Guillaume Damiand, Chris...
SIGIR
2005
ACM
14 years 1 months ago
On the collective classification of email "speech acts"
We consider classification of email messages as to whether or not they contain certain “email acts”, such as a request or a commitment. We show that exploiting the sequential ...
Vitor Rocha de Carvalho, William W. Cohen
KDD
2007
ACM
210views Data Mining» more  KDD 2007»
14 years 1 months ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling