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ITNG
2010
IEEE
15 years 11 months ago
A Fast and Stable Incremental Clustering Algorithm
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
16 years 11 days ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 11 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
COMSWARE
2007
IEEE
16 years 15 days ago
Scalable Multicast Platforms for a New Generation of Robust Distributed Applications
1 As distributed systems scale up and are deployed into increasingly sensitive settings, demand is rising for a new generation of communications middleware in support of applicati...
Ken Birman, Mahesh Balakrishnan, Danny Dolev, Tudo...
IPPS
2008
IEEE
16 years 17 days ago
Parallel mining of closed quasi-cliques
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Z...