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» Process Mining Framework for Software Processes
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KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 8 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
108
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KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 6 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
KDD
2010
ACM
228views Data Mining» more  KDD 2010»
15 years 5 months ago
The new iris data: modular data generators
In this paper we introduce a modular, highly flexible, opensource environment for data generation. Using an existing graphical data flow tool, the user can combine various types...
Iris Adä, Michael R. Berthold
SAC
2004
ACM
15 years 7 months ago
A declarative framework for adaptable applications in heterogeneous environments
In this paper we present an approach for developing adaptable software applications. The problem we are facing is that of a (possibly mobile) user who wants to download and execut...
Paola Inverardi, Fabio Mancinelli, Monica Nesi
KAIS
2007
75views more  KAIS 2007»
15 years 1 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann