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» Clustering by pattern similarity in large data sets
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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 7 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
ICCD
2007
IEEE
195views Hardware» more  ICCD 2007»
15 years 10 months ago
LEMap: Controlling leakage in large chip-multiprocessor caches via profile-guided virtual address translation
The emerging trend of larger number of cores or processors on a single chip in the server, desktop, and mobile notebook platforms necessarily demands larger amount of on-chip last...
Jugash Chandarlapati, Mainak Chaudhuri
TMA
2012
Springer
254views Management» more  TMA 2012»
14 years 2 months ago
Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data
Abstract. The signaling traffic of a cellular network is rich of information related to the movements of its devices across cell boundaries. Thus, passive monitoring of anonymized ...
Pierdomenico Fiadino, Danilo Valerio, Fabio Riccia...
ICDE
2008
IEEE
158views Database» more  ICDE 2008»
16 years 7 months ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang
TNN
2008
105views more  TNN 2008»
15 years 6 months ago
Incremental Learning of Chunk Data for Online Pattern Classification Systems
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov