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» Identifying Objects Using Cluster and Concept Analysis
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FMOODS
2003
14 years 11 months ago
A Rewriting Based Model for Probabilistic Distributed Object Systems
Concurrent and distributed systems have traditionally been modelled using nondeterministic transitions over configurations. The minism provides an abstraction over scheduling, net...
Nirman Kumar, Koushik Sen, José Meseguer, G...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
15 years 10 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
PVLDB
2010
139views more  PVLDB 2010»
14 years 4 months ago
Identifying the Most Influential Data Objects with Reverse Top-k Queries
Top-k queries are widely applied for retrieving a ranked set of the k most interesting objects based on the individual user preferences. As an example, in online marketplaces, cus...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...
SAC
2009
ACM
15 years 2 months ago
Towards "WYDIWYS" for MIMI using concept analysis
This paper presents a novel software engineering approach for developing a dynamic web interface that meets the quality criterion of “WYDIWYS” - What You Do Is What You See. T...
Jie Dai, Remo Mueller, Jacek Szymanski, Guo-Qiang ...
FSS
2002
99views more  FSS 2002»
14 years 9 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya