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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 3 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
EDBT
2010
ACM
164views Database» more  EDBT 2010»
15 years 1 months ago
Techniques for efficiently querying scientific workflow provenance graphs
A key advantage of scientific workflow systems over traditional scripting approaches is their ability to automatically record data and process dependencies introduced during workf...
Manish Kumar Anand, Shawn Bowers, Bertram Ludä...
ICIP
2000
IEEE
15 years 11 months ago
Distributional Clustering for Efficient Content-Based Retrieval of Images and Video
In this paper, we presentan approach to clustering images for efficient retrieval using relative entropy. We start with the assumption that visual features are represented by prob...
Giridharan Iyengar, Andrew Lippman
ILP
2007
Springer
15 years 3 months ago
Applying Inductive Logic Programming to Process Mining
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Serg...
SAC
2010
ACM
15 years 4 months ago
Mining temporal relationships among categories
Temporal text mining deals with discovering temporal patterns in text over a period of time. A Theme Evolution Graph (TEG) is used to visualize when new themes are created and how...
Saket S. R. Mengle, Nazli Goharian