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» Crime Pattern Detection Using Data Mining
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115
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TKDE
2008
125views more  TKDE 2008»
15 years 2 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
CIDR
2011
243views Algorithms» more  CIDR 2011»
14 years 6 months ago
Longitudinal Analytics on Web Archive Data: It's About Time!
Organizations like the Internet Archive have been capturing Web contents over decades, building up huge repositories of time-versioned pages. The timestamp annotations and the she...
Gerhard Weikum, Nikos Ntarmos, Marc Spaniol, Peter...
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 2 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
178
Voted
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 4 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
BMCBI
2005
121views more  BMCBI 2005»
15 years 2 months ago
Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) ma
Background: Proteomic profiling of complex biological mixtures by the ProteinChip technology of surfaceenhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectro...
Huixiao Hong, Yvonne P. Dragan, Joshua Epstein, Ca...