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WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
13 years 11 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 9 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
15 years 8 months ago
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
Denny, Graham J. Williams, Peter Christen
146
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SISAP
2010
IEEE
132views Data Mining» more  SISAP 2010»
15 years 2 months ago
SHIATSU: annotating your videos the easy way!
In this demonstration we present SHIATSU, an automatic semantic-based video tagging system which relies on shot boundary detection and hierarchical annotation. More in details, in...
Ilaria Bartolini, Corrado Romani
PVLDB
2010
125views more  PVLDB 2010»
15 years 2 months ago
Interesting-Phrase Mining for Ad-Hoc Text Analytics
Large text corpora with news, customer mail and reports, or Web 2.0 contributions offer a great potential for enhancing business-intelligence applications. We propose a framework ...
Srikanta J. Bedathur, Klaus Berberich, Jens Dittri...