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PODS
2008
ACM
153views Database» more  PODS 2008»
14 years 8 months ago
Approximation algorithms for co-clustering
Co-clustering is the simultaneous partitioning of the rows and columns of a matrix such that the blocks induced by the row/column partitions are good clusters. Motivated by severa...
Aris Anagnostopoulos, Anirban Dasgupta, Ravi Kumar
VLDB
1995
ACM
66views Database» more  VLDB 1995»
14 years 16 hour ago
A Performance Evaluation of OID Mapping Techniques
In this paper, three techniques to implement logical OIDs are thoroughly evaluated: hashing, B-trees and a technique called direct mapping. Among these three techniques, direct ma...
André Eickler, Carsten Andreas Gerlhof, Don...
ACL
2008
13 years 10 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
GLOBECOM
2007
IEEE
14 years 11 days ago
Resource Efficient Survivable Clustering for Wireless Sensor Networks
Abstract-- In this paper, we address both lifetime and survivability issues in wireless sensor networks (WSNs). We present an easy-to-implement clustering method called DED (distri...
Mohammad Masud Hasan, Jason P. Jue
ESWS
2008
Springer
13 years 10 months ago
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection
Abstract. The paper presents a clustering method which can be applied to populated ontologies for discovering interesting groupings of resources therein. The method exploits a simp...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito