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IJCAI
2003
13 years 6 months ago
Distributed Clustering Based on Sampling Local Density Estimates
Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
Matthias Klusch, Stefano Lodi, Gianluca Moro
LREC
2008
75views Education» more  LREC 2008»
13 years 6 months ago
Selection of Japanese-English Equivalents by Integrating High-quality Corpora and Huge Amounts of Web Data
As a first step to developing systems that enable non-native speakers to output near-perfect English sentences for given mixed EnglishJapanese sentences, we propose new approaches...
Qing Ma, Koichi Nakao, Masaki Murata, Hitoshi Isah...
COMPSAC
2005
IEEE
13 years 6 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin
3DPVT
2004
IEEE
13 years 8 months ago
Enhanced Vector Quantization for Data Reduction and Filtering
Modern automatic digitizers can sample huge amounts of 3D data points on the object surface in a short time. Point based graphics is becoming a popular framework to reduce the car...
Stefano Ferrari, Iuri Frosio, Vincenzo Piuri, N. A...
IPPS
1999
IEEE
13 years 8 months ago
Linear Aggressive Prefetching: A Way to Increase the Performance of Cooperative Caches
Cooperative caches offer huge amounts of caching memory that is not always used as well as it could be. We might find blocks in the cache that have not been requested for many hou...
Toni Cortes, Jesús Labarta