Sciweavers

484 search results - page 4 / 97
» Measuring the Quality of Approximated Clusterings
Sort
View
CLEANDB
2006
ACM
113views Database» more  CLEANDB 2006»
14 years 3 months ago
Column Heterogeneity as a Measure of Data Quality
Data quality is a serious concern in every data management application, and a variety of quality measures have been proposed, including accuracy, freshness and completeness, to ca...
Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh ...
EP
1998
Springer
14 years 2 months ago
Generating, Visualizing, and Evaluating High-Quality Clusters for Information Organization
We present and analyze the star clustering algorithm. We discuss an implementation of this algorithm that supports browsing and document retrieval through information organization...
Javed A. Aslam, Katya Pelekhov, Daniela Rus
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
14 years 3 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
CN
1999
73views more  CN 1999»
13 years 9 months ago
Measuring Index Quality Using Random Walks on the Web
Recent researchhas studied howto measurethe size of a searchengine, in terms of the number of pages indexed. In this paper, we consider a di erent measure for search engines, name...
Monika Rauch Henzinger, Allan Heydon, Michael Mitz...
FUIN
2010
143views more  FUIN 2010»
13 years 7 months ago
Cluster Tree Elimination for Distributed Constraint Optimization with Quality Guarantees
Some distributed constraint optimization algorithms use a linear number of messages in the number of agents, but of exponential size. This is often the main limitation for their pr...
Ismel Brito, Pedro Meseguer