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143
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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 4 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
128
Voted
VLDB
1998
ACM
204views Database» more  VLDB 1998»
15 years 8 months ago
Clustering Categorical Data: An Approach Based on Dynamical Systems
Wedescribea novel approachfor clustering collectionsof sets,andits applicationto theanalysis and mining of categoricaldata. By "categorical data," we meantableswith fiel...
David Gibson, Jon M. Kleinberg, Prabhakar Raghavan
163
Voted
DEXA
2009
Springer
172views Database» more  DEXA 2009»
15 years 7 months ago
Utilizing XML Clustering for Efficient XML Data Management on P2P Networks
Peer-to-Peer (P2P) data integration combines the P2P infrastructure with traditional scheme-based data integration techniques. Some of the primary problems in this research area ar...
Panagiotis Antonellis, Christos Makris, Nikos Tsir...
127
Voted
IADIS
2008
15 years 5 months ago
Design of an Automated System for Clustering Heterogeneous Data
The goal of this work is to study the feasibility of a Heterogeneous Data Classification and Search (HDCS) system and to provide a possible design for its implementing. In order t...
Dorin Carstoiu, Alexandra Cernian, Adriana Olteanu...
131
Voted
HPCA
2003
IEEE
16 years 4 months ago
Dynamic Data Replication: An Approach to Providing Fault-Tolerant Shared Memory Clusters
A challenging issue in today's server systems is to transparently deal with failures and application-imposed requirements for continuous operation. In this paper we address t...
Rosalia Christodoulopoulou, Reza Azimi, Angelos Bi...