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JWSR
2007
172views more  JWSR 2007»
15 years 7 months ago
Service Class Driven Dynamic Data Source Discovery with DynaBot
: Dynamic Web data sources – sometimes known collectively as the Deep Web – increase the utility of the Web by providing intuitive access to data repositories anywhere that Web...
Daniel Rocco, James Caverlee, Ling Liu, Terence Cr...
PODC
2000
ACM
15 years 11 months ago
Garbage collection of timestamped data in Stampede
Stampede is a parallel programming system to facilitate the programming of interactive multimedia applications on clusters of SMPs. In a Stampede application, a variable number of...
Rishiyur S. Nikhil, Umakishore Ramachandran
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
16 years 7 months ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
ISMIS
2005
Springer
16 years 16 days ago
Using Supervised Clustering to Enhance Classifiers
Abstract. This paper centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering is applied to classified examples ...
Christoph F. Eick, Nidal M. Zeidat
LREC
2008
120views Education» more  LREC 2008»
15 years 8 months ago
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
Hiroyuki Shinnou, Minoru Sasaki