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» Anytime Exploratory Data Analysis for Massive Data Sets
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CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 7 months ago
Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008
We provide a report for the ACM SIGKDD community about the 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), its origin in MMDS 2006, and future directions for...
Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlss...
SIGMOD
2001
ACM
193views Database» more  SIGMOD 2001»
14 years 7 months ago
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Christian Böhm, Bernhard Braunmüller, Fl...
SIGKDD
2000
237views more  SIGKDD 2000»
13 years 6 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
CHI
2004
ACM
14 years 7 months ago
The usability of massively multiplayer online roleplaying games: designing for new users
This study examines the usability challenges faced by new players of massively multiplayer online role-playing games (MMORPGs), one of the fastest-growing segments of the video ga...
Steve Cornett
ICML
2000
IEEE
13 years 11 months ago
Mutual Information in Learning Feature Transformations
We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual inf...
Kari Torkkola, William M. Campbell