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» Statistical Supports for Frequent Itemsets on Data Streams
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IJCNN
2006
IEEE
15 years 8 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
15 years 6 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 1 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
15 years 2 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
KAIS
2010
139views more  KAIS 2010»
15 years 10 days ago
Periodic subgraph mining in dynamic networks
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
Mayank Lahiri, Tanya Y. Berger-Wolf