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» Phenomenal Data Mining: From Data to Phenomena
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SADM
2010
194views more  SADM 2010»
15 years 4 days ago
Seriation and matrix reordering methods: An historical overview
: Seriation is an exploratory combinatorial data analysis technique to reorder objects into a sequence along a one-dimensional continuum so that it best reveals regularity and patt...
Innar Liiv
CIKM
2011
Springer
14 years 1 months ago
Scalable entity matching computation with materialization
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
Sanghoon Lee, Jongwuk Lee, Seung-won Hwang
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 4 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 4 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 4 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...