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» Exploiting Visualization in Knowledge Discovery
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ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
14 years 7 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
DAGM
2001
Springer
15 years 2 months ago
Detecting, Tracking, and Interpretation of a Pointing Gesture by an Overhead View Camera
In this work we describe a set of visual routines, which support a novel sensor free interface between a human and virtual objects. The visual routines detect, track and interpret ...
Marina Kolesnik, Thomas Kulessa
ASUNAM
2011
IEEE
13 years 10 months ago
Visualizing Bibliographic Databases as Graphs and Mining Potential Research Synergies
—Bibliographic databases are a prosperous field for data mining research and social network analysis. They contain rich information, which can be analyzed across different dimen...
Iraklis Varlamis, George Tsatsaronis
GCC
2003
Springer
15 years 3 months ago
The Design and Implementation of the GridLab Information Service
The grid computing paradigm emerged recently as a new field distinguished from traditional distributed computing because of its focus on large-scale resource sharing and innovativ...
Giovanni Aloisio, Massimo Cafaro, Italo Epicoco, D...
AOSD
2007
ACM
15 years 2 months ago
Efficiently mining crosscutting concerns through random walks
Inspired by our past manual aspect mining experiences, this paper describes a random walk model to approximate how crosscutting concerns can be discovered in the absence of domain...
Charles Zhang, Hans-Arno Jacobsen