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» Data Mining and Database Systems: Where is the Intersection
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WWW
2010
ACM
14 years 3 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
DEXA
2004
Springer
140views Database» more  DEXA 2004»
14 years 2 months ago
Extracting User Behavior by Web Communities Technology on Global Web Logs
A lot of work has been done on extracting the model of web user behavior. Most of them target server-side logs that cannot track user behavior outside of the server. Recently, a no...
Shingo Otsuka, Masashi Toyoda, Jun Hirai, Masaru K...
INFORMATICALT
2008
124views more  INFORMATICALT 2008»
13 years 8 months ago
Hierarchical Adaptive Clustering
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Gabriela Serban, Alina Campan
DASFAA
2009
IEEE
253views Database» more  DASFAA 2009»
14 years 1 days ago
Implementing and Optimizing Fine-Granular Lock Management for XML Document Trees
Abstract. Fine-grained lock protocols with lock modes and lock granules adjusted to the various XML processing models, allow for highly concurrent transaction processing on XML tre...
Sebastian Bächle, Theo Härder, Michael P...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 11 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich