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106
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ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
14 years 10 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
94
Voted
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
15 years 6 months ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila
81
Voted
FIMH
2009
Springer
15 years 7 months ago
Extraction of Coronary Vascular Tree and Myocardial Perfusion Data from Stacks of Cryomicrotome Images
Computational models of myocardial perfusion in normal as well as pathological conditions have contributed to recent advances in the personalized diagnosis and treatment of cardiov...
Pepijn van Horssen, Jeroen P. H. M. van den Wijnga...
CIKM
2006
Springer
15 years 4 months ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...
94
Voted
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 1 months ago
BBM: bayesian browsing model from petabyte-scale data
Given a quarter of petabyte click log data, how can we estimate the relevance of each URL for a given query? In this paper, we propose the Bayesian Browsing Model (BBM), a new mod...
Chao Liu 0001, Christos Faloutsos, Fan Guo