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» Clustering Improves the Exploration of Graph Mining Results
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BMCBI
2011
14 years 3 months ago
RAG: An Update to the RNA-As-Graphs Resource
Background: In 2004, we presented a web resource for stimulating the search for novel RNAs, RNA-As-Graphs (RAG), which classified, catalogued, and predicted RNA secondary structur...
Joseph A. Izzo, Namhee Kim, Shereef Elmetwaly, Tam...
DIAGRAMS
2006
Springer
15 years 3 months ago
Exploring the Effect of Animation and Progressive Revealing on Diagrammatic Problem Solving
We conducted eye-tracking studies of subjects solving the problem of finding shortest paths in a graph using a known procedure (Dijkstra's algorithm). The goal of these studie...
Daesub Yoon, N. Hari Narayanan, SooCheol Lee, Oh-C...
KDD
2002
ACM
191views Data Mining» more  KDD 2002»
16 years 6 days ago
Multimedia Knowledge Integration, Summarization And Evaluation
This paper presents new methods for automatically integrating, summarizing and evaluating multimedia knowledge. These are essential for multimedia applications to efficiently and ...
Ana B. Benitez, Shih-Fu Chang
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 3 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
15 years 5 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen