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» Techniques of Cluster Algorithms in Data Mining
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DAWAK
2007
Springer
15 years 3 months ago
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng ...
84
Voted
CAEPIA
2003
Springer
15 years 2 months ago
Clustering Main Concepts from e-Mails
E–mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company’s communication, in which every employee spends about 90 minutes a day in ...
Jesús S. Aguilar-Ruiz, Domingo S. Rodr&iacu...
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
15 years 9 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
15 years 2 months ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...
78
Voted
JUCS
2007
112views more  JUCS 2007»
14 years 9 months ago
Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
Leszek Borzemski