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» Business Process Understanding: Mining Many Datasets
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BICOB
2009
Springer
13 years 5 months ago
A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets
We propose a two-step biclustering approach to mine co-regulation patterns of a given reference gene to discover other genes that function in a common biological process. Currently...
Doruk Bozdag, Jeffrey D. Parvin, Ümit V. &Cce...
BPM
2009
Springer
157views Business» more  BPM 2009»
13 years 8 months ago
ProM: The Process Mining Toolkit
Nowadays, all kinds of information systems store detailed information in logs. Examples of such systems include classical workflow management systems (Staffware), ERP systems (SAP)...
Wil M. P. van der Aalst, Boudewijn F. van Dongen, ...
BPM
2004
Springer
148views Business» more  BPM 2004»
13 years 11 months ago
Interactive Workflow Mining
Many information systems log event data about executed tasks. Workflow mining is concerned with the derivation of a graphical workflow model out of this data. Experience from appl...
Markus Hammori, Joachim Herbst, Niko Kleiner
BMCBI
2010
218views more  BMCBI 2010»
13 years 7 months ago
Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets
Background: Solving bioinformatics tasks often requires extensive computational power. Recent trends in processor architecture combine multiple cores into a single chip to improve...
Michael Scharfe, Rainer Pielot, Falk Schreiber
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
14 years 8 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...