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» Combining Multiple Clustering Systems
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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 3 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...
150
Voted
BPM
2006
Springer
166views Business» more  BPM 2006»
15 years 6 months ago
Process Mining by Measuring Process Block Similarity
Mining, discovering, and integrating process-oriented services has attracted growing attention in the recent year. Workflow precedence graph and workflow block structures are two i...
Joonsoo Bae, James Caverlee, Ling Liu, Hua Yan
ICDM
2009
IEEE
259views Data Mining» more  ICDM 2009»
15 years 9 days ago
Topic Modeling for Sequences of Temporal Activities
: Topic Modeling for Sequences of Temporal Activities Zhi-Yong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen HP Laboratories HPL-2010-160 topic modeling, LDA, sequence, temp...
Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-...
205
Voted
GIS
2008
ACM
16 years 3 months ago
Low-cost orthographic imagery
Commercial aerial imagery websites, such as Google Maps, MapQuest, Microsoft Virtual Earth, and Yahoo! Maps, provide high- seamless orthographic imagery for many populated areas, ...
Peter Pesti, Jeremy Elson, Jon Howell, Drew Steedl...
139
Voted
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 3 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor