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» Large Scale Data Mining: Challenges and Responses
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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 6 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
CLIN
2004
15 years 7 months ago
Automatic Summarization of Meeting Data: A Feasibility Study
The disclosure of audio-visual meeting recordings is a new challenging domain studied by several large scale research projects in Europe and the US. Automatic meeting summarizatio...
Anne Hendrik Buist, Wessel Kraaij, Stephan Raaijma...
ICDE
2007
IEEE
176views Database» more  ICDE 2007»
16 years 14 days ago
Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis
The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to ...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Da...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 4 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
WWW
2008
ACM
16 years 6 months ago
Temporal views over rdf data
Supporting fast access to large RDF stores has been one of key challenges for enabling use of the Semantic Web in real-life applications, more so in sensor-based systems where lar...
Craig Sayers, Geetha Manjunath, K. S. Venugopal, R...