Sciweavers

587 search results - page 25 / 118
» Clustering Improves the Exploration of Graph Mining Results
Sort
View
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
14 years 9 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
13 years 7 months ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...
JMMA
2010
162views more  JMMA 2010»
14 years 6 months ago
Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Charles-Edmond Bichot
AAIM
2007
Springer
118views Algorithms» more  AAIM 2007»
15 years 3 months ago
Significance-Driven Graph Clustering
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
Marco Gaertler, Robert Görke, Dorothea Wagner
EDM
2010
152views Data Mining» more  EDM 2010»
15 years 1 months ago
Mining Students' Interaction Data from a System that Support Learning by Reflection
In this paper we utilising some popular educational data mining (EDM) methods to explore and mine educational data resulted from a system that supports reflection for learning call...
Rajibussalim