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» Closed Sets for Labeled Data
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ACSC
2006
IEEE
15 years 10 months ago
A framework for visual data mining of structures
Visual data mining has been established to effectively analyze large, complex numerical data sets. Especially, the extraction and visualization of inherent structures such as hie...
Hans-Jörg Schulz, Thomas Nocke, Heidrun Schum...
PKDD
2005
Springer
117views Data Mining» more  PKDD 2005»
15 years 10 months ago
A Bi-clustering Framework for Categorical Data
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
GLOBECOM
2007
IEEE
15 years 11 months ago
Analysis of the Contention Access Phase of a Reservation MAC Protocol for Wide-Area Data Intensive Sensor Networks
— We propose a contention based reservation MAC protocol for a collaborative sensing scenario involving a set of surveillance UAVs communicating with a hub. Data transmission rig...
Arindam Kumar Das, Sumit Roy, Abhijit Mahalanobis
142
Voted
CIKM
1997
Springer
15 years 8 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
147
Voted
DASFAA
2008
IEEE
120views Database» more  DASFAA 2008»
15 years 11 months ago
Knowledge Transferring Via Implicit Link Analysis
In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different ...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Yong Yu