1010 search results - page 20 / 202 » Measuring Similarity between Sets of Overlapping Clusters |
SIGMOD
2010
ACM
13 years 10 months ago
2010
ACM
Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. ...
DAWAK
2008
Springer
14 years 5 days ago
2008
Springer
The ability to accurately judge the similarity between natural language sentences is critical to the performance of several applications such as text mining, question answering, an...
ISAAC
2009
Springer
14 years 5 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
CIKM
2008
Springer
14 years 6 days ago
2008
Springer
We propose a novel conception language for exploring the results retrieved by several internet search services (like search engines) that cluster retrieved documents. The goal is ...
ER
2005
Springer
14 years 3 months ago
2005
Springer
Measuring semantic similarity among concepts is the core method for assessing the degree of semantic interoperability within and between ontologies. In this paper, we propose to ex...