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» Clustering Improves the Exploration of Graph Mining Results
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SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
15 years 9 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...
IJCAI
2003
15 years 1 months ago
Web Page Cleaning for Web Mining through Feature Weighting
Unlike conventional data or text, Web pages typically contain a large amount of information that is not part of the main contents of the pages, e.g., banner ads, navigation bars, ...
Lan Yi, Bing Liu
ICCCN
2007
IEEE
15 years 3 months ago
Exploring Load-Balance to Dispatch Mobile Sensors in Wireless Sensor Networks
In this paper, a hybrid sensor network consisting of static and mobile sensors is considered, where static sensors are used to detect events, and mobile sensors can move to event l...
You-Chiun Wang, Wen-Chih Peng, Min-Hsien Chang, Yu...
ICDAR
2011
IEEE
13 years 11 months ago
Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation
—Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the...
Vasant Manohar, Shiv Naga Prasad Vitaladevuni, Hua...
PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
15 years 5 months ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni