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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
15 years 11 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
EDM
2008
113views Data Mining» more  EDM 2008»
15 years 15 days ago
Mining and Visualizing Visited Trails in Web-Based Educational Systems
A data mining and visualization tool for the discovery of student trails in web-based educational systems is presented and described. The tool uses graphs to visualize results, all...
Cristóbal Romero, Sergio Gutiérrez S...
89
Voted
CCGRID
2004
IEEE
15 years 2 months ago
Privacy-preserving association rule mining in large-scale distributed systems
Data privacy is a major concern that threatens the widespread deployment of Data Grids in domains such as health-care and finance. We propose a unique approach for obtaining knowl...
Assaf Schuster, Ran Wolff, Bobi Gilburd
58
Voted
WWW
2007
ACM
15 years 11 months ago
Image collector III: a web image-gathering system with bag-of-keypoints
We propose a new system to mine visual knowledge on the Web. There are huge image data as well as text data on the Web. However, mining image data from the Web is paid less attent...
Keiji Yanai
KDD
1997
ACM
120views Data Mining» more  KDD 1997»
15 years 3 months ago
Discovering Trends in Text Databases
We describe a system we developed for identifying trends in text documents collected over a period of time. Trends can be used, for example, to discover that a company is shifting...
Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant