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» Using Clustering Methods for Discovering Event Structures
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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 6 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
PAMI
2008
197views more  PAMI 2008»
15 years 4 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
ESWS
2008
Springer
15 years 6 months ago
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection
Abstract. The paper presents a clustering method which can be applied to populated ontologies for discovering interesting groupings of resources therein. The method exploits a simp...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
BPM
2004
Springer
167views Business» more  BPM 2004»
15 years 10 months ago
Mining Social Networks: Uncovering Interaction Patterns in Business Processes
Increasingly information systems log historic information in a systematic way. Workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called “ev...
Wil M. P. van der Aalst, Minseok Song
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 10 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...