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SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
14 years 11 months ago
Discriminating Subsequence Discovery for Sequence Clustering
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 7 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
15 years 3 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas
ICDM
2006
IEEE
154views Data Mining» more  ICDM 2006»
15 years 3 months ago
Mining and Predicting Duplication over Peer-to-Peer Query Streams
Many previous works of data mining user queries in Peer-to-Peer systems focused their attention on the distribution of query contents. However, few has been done towards a better ...
Shicong Meng, Yifeng Shao, Cong Shi, Dingyi Han, Y...
VLDB
1998
ACM
112views Database» more  VLDB 1998»
15 years 2 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...