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WWW
2001
ACM
16 years 7 months ago
Rank aggregation methods for the Web
We consider the problem of combining ranking results from various sources. In the context of the Web, the main applications include building meta-search engines, combining ranking...
Cynthia Dwork, Ravi Kumar, Moni Naor, D. Sivakumar
KDD
2002
ACM
228views Data Mining» more  KDD 2002»
16 years 7 months ago
Mammography Classification By an Association Rule-based Classifier
This paper proposes a new classification method based on association rule mining. This association rule-based classifier is experimented on a real dataset; a database of medical i...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
16 years 1 months ago
Spatiotemporal Relational Random Forests
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
Timothy A. Supinie, Amy McGovern, John Williams, J...
ICSOC
2009
Springer
16 years 1 months ago
Web Service Search on Large Scale
The Web is nowadays moving from a Web of data to a Web of services. In this paper we present our approach for Web Service discovery on Web scale, targeted to support flexible and ...
Nathalie Steinmetz, Holger Lausen, Manuel Brunner
SIGIR
2009
ACM
16 years 1 months ago
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and bett...
Gordon V. Cormack, Charles L. A. Clarke, Stefan B&...