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ICDM
2008
IEEE
222views Data Mining» more  ICDM 2008»
15 years 8 months ago
GRAPHITE: A Visual Query System for Large Graphs
We present Graphite, a system that allows the user to visually construct a query pattern, finds both its exact and approximate matching subgraphs in large attributed graphs, and ...
Duen Horng Chau, Christos Faloutsos, Hanghang Tong...
126
Voted
BMCBI
2008
226views more  BMCBI 2008»
15 years 2 months ago
ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining
Background: New systems biology studies require researchers to understand how interplay among myriads of biomolecular entities is orchestrated in order to achieve high-level cellu...
Tianxiao Huan, Andrey Y. Sivachenko, Scott H. Harr...
109
Voted
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 6 months ago
Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases
This paper describesthe use of AI planning techniques to representscientific, image processing, and software tool knowledge to automateknowledgediscoveryanddatamining (e.g.,scienc...
Steve A. Chien, Forest Fisher, Helen Mortensen, Ed...
VISUALIZATION
1993
IEEE
15 years 6 months ago
Visual Feedback in Querying Large Databases
In this paper, we describe a database query system that provides visual relevance feedback in querying large databases. The goal of our system is to support the query specificati...
Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
16 years 2 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han