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» Agent-Enriched Data Mining Using an Extendable Framework
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KDD
2012
ACM
164views Data Mining» more  KDD 2012»
13 years 6 days ago
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Blockmodelling is an important technique for decomposing graphs into sets of roles. Vertices playing the same role have similar patterns of interactions with vertices in other rol...
Jeffrey Chan, Wei Liu, Christopher Leckie, James B...
SIGKDD
2008
132views more  SIGKDD 2008»
14 years 9 months ago
Retail sales prediction and item recommendations using customer demographics at store level
This paper outlines a retail sales prediction and product recommendation system that was implemented for a chain of retail stores. The relative importance of consumer demographic ...
Michael Giering
CCR
1999
110views more  CCR 1999»
14 years 9 months ago
Independent active program representation using ASN. 1
act Syntax Notation One (ASN.1) can be used as a common substrate for representing active programs. An active networking framework, using ASN.1 whereby any active network solution ...
Brad Williamson, Craig Farrell
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
15 years 7 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
SENSYS
2003
ACM
15 years 3 months ago
DFuse: a framework for distributed data fusion
Simple in-network data aggregation (or fusion) techniques for sensor networks have been the focus of several recent research efforts, but they are insufficient to support advance...
Rajnish Kumar, Matthew Wolenetz, Bikash Agarwalla,...