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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
16 years 1 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
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...
Bodo Manthey, Heiko Röglin
WECWIS
2002
IEEE
112views ECommerce» more  WECWIS 2002»
15 years 11 months ago
Separating Business Process from User Interaction Utilizing Process-Aware XSLT Style-Sheets
In the web context, it is difficult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes to de...
Karl Aberer, Anwitaman Datta, Zoran Despotovic
COOPIS
2004
IEEE
15 years 10 months ago
Comparing Approaches for Semantic Service Description and Matchmaking
Matching descriptions of user requirements against descriptions of service capabilities is crucial for the discovery of appropriate services for a given task. To improve the precis...
Sven Schade, Arnd Sahlmann, Michael Lutz, Florian ...
SEBD
2007
148views Database» more  SEBD 2007»
15 years 8 months ago
Containment of Conjunctive Object Meta-Queries
We consider the problem of query containment over an object data model derived from F-logic. F-logic has generated considerable interest commercially, in the academia, and within ...
Andrea Calì, Michael Kifer
JUCS
2008
196views more  JUCS 2008»
15 years 6 months ago
Information Integration for the Masses
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...