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BPM
2009
Springer
175views Business» more  BPM 2009»
16 years 1 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
IWPC
2006
IEEE
16 years 21 days ago
Studying the Evolution of Software Systems Using Change Clusters
In this paper, we present an approach that examines the evolution of code stored in source control repositories. The technique identifies Change Clusters, which can help managers...
Jay Kothari, Ali Shokoufandeh, Spiros Mancoridis, ...
CIMCA
2005
IEEE
16 years 9 days ago
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
George E. Tsekouras
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 12 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...