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DBISP2P
2003
Springer
92views Database» more  DBISP2P 2003»
15 years 3 months ago
Semantic Overlay Clusters within Super-Peer Networks
When joining information provider peers to a peer-to-peer network, an arbitrary distribution is sub-optimal. In fact, clustering peers by their characteristics, enhances search and...
Alexander Löser, Felix Naumann, Wolf Siberski...
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
15 years 4 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
DKE
2007
162views more  DKE 2007»
14 years 10 months ago
A new algorithm for clustering search results
We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search ...
Giansalvatore Mecca, Salvatore Raunich, Alessandro...
DL
1994
Springer
191views Digital Library» more  DL 1994»
15 years 2 months ago
Corpus Linguistics for Establishing The Natural Language Content of Digital Library Documents
Digital Libraries will hold huge amounts of text and other forms of information. For the collections to be maximally useful, they must be highly organized with useful indexes and ...
Robert P. Futrelle, Xiaolan Zhang 0002, Yumiko Sek...
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
14 years 11 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu