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BMCBI
2010
122views more  BMCBI 2010»
14 years 6 months ago
Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PF
Background: A new paradigm of biological investigation takes advantage of technologies that produce large high throughput datasets, including genome sequences, interactions of pro...
Troy Hawkins, Meghana Chitale, Daisuke Kihara
84
Voted
CICLING
2009
Springer
15 years 11 months ago
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
Kazunari Sugiyama, Manabu Okumura
ICWS
2009
IEEE
15 years 8 months ago
Adaptive Prefetching Scheme Using Web Log Mining in Cluster-Based Web Systems
The main memory management has been a critical issue to provide high performance in web cluster systems. To overcome the speed gap between processors and disks, many prefetch sche...
Heung Ki Lee, Baik Song An, Eun Jung Kim
DEXA
2009
Springer
172views Database» more  DEXA 2009»
15 years 2 months ago
Utilizing XML Clustering for Efficient XML Data Management on P2P Networks
Peer-to-Peer (P2P) data integration combines the P2P infrastructure with traditional scheme-based data integration techniques. Some of the primary problems in this research area ar...
Panagiotis Antonellis, Christos Makris, Nikos Tsir...
GLOBECOM
2007
IEEE
15 years 3 months ago
Resource Efficient Survivable Clustering for Wireless Sensor Networks
Abstract-- In this paper, we address both lifetime and survivability issues in wireless sensor networks (WSNs). We present an easy-to-implement clustering method called DED (distri...
Mohammad Masud Hasan, Jason P. Jue