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AE
2007
Springer
14 years 1 months ago
Adaptive and Assortative Mating Scheme for Evolutionary Multi-Objective Algorithms
We are interested in the role of restricted mating schemes in the context of evolutionary multi-objective algorithms. In this paper, we propose an adaptive assortative mating schem...
Khoi Le, Dario Landa Silva
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 8 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
APWEB
2006
Springer
13 years 11 months ago
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Kuo-Yu Huang, Chia-Hui Chang
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
14 years 17 days ago
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 7 months ago
A Unified Algorithmic Framework for Multi-Dimensional Scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...