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ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
14 years 1 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 5 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
ICALP
2005
Springer
14 years 1 months ago
Union-Find with Constant Time Deletions
A union-find data structure maintains a collection of disjoint sets under makeset, union and find operations. Kaplan, Shafrir and Tarjan [SODA 2002] designed data structures for ...
Stephen Alstrup, Inge Li Gørtz, Theis Rauhe...
PR
2010
170views more  PR 2010»
13 years 6 months ago
Sparsity preserving projections with applications to face recognition
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
CLEIEJ
2008
115views more  CLEIEJ 2008»
13 years 8 months ago
Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction
Data Mining is a process related to analysis, understanding and knowledge extraction from databases. In order to perform this process it is usually necessary to represent the data...
Daniel de Faveri Honorato, Everton Alvares Cherman...