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» Clustering Improves the Exploration of Graph Mining Results
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CEC
2008
IEEE
15 years 6 months ago
A Quantum-inspired Genetic Algorithm for data clustering
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zh...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 6 days ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
IAT
2006
IEEE
15 years 5 months ago
A Storage Management for Mining Object Moving Patterns in Object Tracking Sensor Networks
One promising application of sensor networks is object tracking. Because the movements of the tracked objects usually show repeating patterns, we propose a heterogeneous tracking ...
Chih-Chieh Hung, Wen-Chih Peng
APVIS
2008
15 years 1 months ago
MobiVis: A Visualization System for Exploring Mobile Data
The widespread use of mobile devices brings opportunities to capture large-scale, continuous information about human behavior. Mobile data has tremendous value, leading to busines...
Zeqian Shen, Kwan-Liu Ma
CORR
2008
Springer
87views Education» more  CORR 2008»
14 years 12 months ago
Visualization of association graphs for assisting the interpretation of classifications
Given a query on the PASCAL database maintained by the INIST, we design user interfaces to visualize and wo types of graphs extracted from abstracts: 1) the graph of all associati...
Eric SanJuan, Ivana Roche