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» Teaching data modeling: process and patterns
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SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 11 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
ICASSP
2008
IEEE
14 years 4 months ago
Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...
BPM
2006
Springer
107views Business» more  BPM 2006»
14 years 1 months ago
On the Suitability of BPMN for Business Process Modelling
Abstract. In this paper we examine the suitability of the Business Process Modelling Notation (BPMN) for business process modelling, using the Workflow Patterns as an evaluation fr...
Petia Wohed, Wil M. P. van der Aalst, Marlon Dumas...
DAWAK
2007
Springer
14 years 4 months ago
Mining Trajectory Patterns Using Hidden Markov Models
Many studies of spatiotemporal pattern discovery partition data space into disjoint cells for effective processing. However, the discovery accuracy of the space-partitioning schem...
Hoyoung Jeung, Heng Tao Shen, Xiaofang Zhou
DEXAW
2004
IEEE
209views Database» more  DEXAW 2004»
14 years 1 months ago
Spatio-Temporal Data Warehouse Design for Human Activity Pattern Analysis
Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis. Unlike conventional data where attributes are simple values (nu...
Lionel Savary, Tao Wan, Karine Zeitouni