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» Learning Business Process Models: A Case Study
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JMLR
2008
188views more  JMLR 2008»
15 years 5 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
16 years 3 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
WWW
2007
ACM
16 years 6 months ago
Explorations in the use of semantic web technologies for product information management
Master data refers to core business entities a company uses repeatedly across many business processes and systems (such as lists or hierarchies of customers, suppliers, accounts, ...
Chen Wang, Daniel C. Wolfson, Jean-Sébastie...
JMLR
2010
140views more  JMLR 2010»
15 years 27 days ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
CORR
2008
Springer
139views Education» more  CORR 2008»
15 years 6 months ago
The Secrecy Graph and Some of its Properties
A new random geometric graph model, the so-called secrecy graph, is introduced and studied. The graph represents a wireless network and includes only edges over which secure commun...
Martin Haenggi