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» Mining Multiple Large Databases
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ICDE
2007
IEEE
136views Database» more  ICDE 2007»
14 years 9 months ago
Faceted Browsing over Large Databases of Text-Annotated Objects
We demonstrate a fully working system for multifaceted browsing over large collections of text-annotated data, such as annotated images, that are stored in relational databases. T...
Wisam Dakka, Panagiotis G. Ipeirotis, Kenneth R. W...
VISUALIZATION
1993
IEEE
13 years 11 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
ICDE
2007
IEEE
161views Database» more  ICDE 2007»
14 years 9 months ago
Mining Colossal Frequent Patterns by Core Pattern Fusion
Extensive research for frequent-pattern mining in the past decade has brought forth a number of pattern mining algorithms that are both effective and efficient. However, the exist...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, H...
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
13 years 11 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
PPOPP
2005
ACM
14 years 1 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...