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» Mining Compressing Sequential Patterns
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PAMI
2006
127views more  PAMI 2006»
13 years 7 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
DCC
2006
IEEE
14 years 7 months ago
Making the Correct Mistakes
We propose a new sequential, adaptive, quadratic-time algorithm for variable-rate lossy compression of memoryless sources at a fixed distortion. The algorithm uses approximate pat...
Dharmendra S. Modha, Narayana P. Santhanam
ECIR
2010
Springer
13 years 8 months ago
Aggregation of Multiple Judgments for Evaluating Ordered Lists
Abstract. Many tasks (e.g., search and summarization) result in an ordered list of items. In order to evaluate such an ordered list of items, we need to compare it with an ideal or...
Hyun Duk Kim, ChengXiang Zhai, Jiawei Han
DATAMINE
2008
137views more  DATAMINE 2008»
13 years 7 months ago
Two heads better than one: pattern discovery in time-evolving multi-aspect data
Abstract. Data stream values are often associated with multiple aspects. For example, each value observed at a given time-stamp from environmental sensors may have an associated ty...
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke,...
WWW
2010
ACM
13 years 7 months ago
Mining advertiser-specific user behavior using adfactors
Consider an online ad campaign run by an advertiser. The ad serving companies that handle such campaigns record users' behavior that leads to impressions of campaign ads, as ...
Nikolay Archak, Vahab S. Mirrokni, S. Muthukrishna...