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» Temporal granular logic for temporal data mining
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KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 3 days ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
14 years 9 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
DKE
2007
95views more  DKE 2007»
14 years 11 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
IPPS
2006
IEEE
15 years 5 months ago
Exploiting processing locality through paging configurations in multitasked reconfigurable systems
FPGA chips in reconfigurable computer systems are used as malleable coprocessors where components of a hardware library of functions can be configured as needed. As the number of ...
T. Taher, Tarek A. El-Ghazawi
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 3 days ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan