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MLDM
2005
Springer
15 years 8 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
EDBT
2006
ACM
191views Database» more  EDBT 2006»
16 years 3 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh
CDVE
2004
Springer
120views Visualization» more  CDVE 2004»
15 years 8 months ago
Constructing a Global and Integral Model of Business Management Using a CBR System
Abstract. Knowledge has become the most strategic resource in the new business environment. A case-based reasoning system, which incorporates a novel clustering and retrieval metho...
Emilio Corchado, Juan M. Corchado, Lourdes S&aacut...
164
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WISA
2009
Springer
15 years 7 months ago
EM Side-Channel Attacks on Commercial Contactless Smartcards Using Low-Cost Equipment
We introduce low-cost hardware for performing non-invasive side-channel attacks on Radio Frequency Identication Devices (RFID) and develop techniques for facilitating a correlatio...
Timo Kasper, David Oswald, Christof Paar
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 8 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek