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» Clustering Improves the Exploration of Graph Mining Results
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 11 days ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 9 months ago
Graph Regularized Transductive Classification on Heterogeneous Information Networks
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han...
LREC
2010
138views Education» more  LREC 2010»
15 years 1 months ago
Evaluating a Text Mining Based Educational Search Portal
In this paper, we present the main features of a text mining based search engine for the UK Educational Evidence Portal available at the UK National Centre for Text Mining (NaCTeM...
Sophia Ananiadou, John McNaught, James Thomas, Mar...
EMO
2003
Springer
98views Optimization» more  EMO 2003»
15 years 5 months ago
Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map
Self-Organizing Maps (SOMs) have been used to visualize tradeoffs of Pareto solutions in the objective function space for engineering design obtained by Evolutionary Computation. F...
Shigeru Obayashi, Daisuke Sasaki
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 2 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham