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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 11 days 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...
KDD
2008
ACM
246views Data Mining» more  KDD 2008»
16 years 7 days ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
16 years 7 days ago
On-board analysis of uncalibrated data for a spacecraft at mars
Analyzing data on-board a spacecraft as it is collected enables several advanced spacecraft capabilities, such as prioritizing observations to make the best use of limited bandwid...
Benyang Tang, Kiri Wagstaff, Rebecca Castañ...
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 7 days ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
KDD
2006
ACM
253views Data Mining» more  KDD 2006»
16 years 7 days ago
Adaptive Website Design Using Caching Algorithms
Visitors enter a website through a variety of means, including web searches, links from other sites, and personal bookmarks. In some cases the first page loaded satisfies the visi...
Justin Brickell, Inderjit S. Dhillon, Dharmendra S...