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» Phenomenal Data Mining: From Data to Phenomena
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MMAS
2011
Springer
14 years 8 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
CGA
2007
15 years 1 months ago
From Abstract Painting to Information Visualization
abstract painting and practice can benefit information visualization—even though the two fields have significantly different objectives. This comparison reflects the spirit of ...
Kang Zhang
130
Voted
ICS
2007
Tsinghua U.
15 years 8 months ago
Locality of sampling and diversity in parallel system workloads
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
Dror G. Feitelson
ACSW
2004
15 years 3 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
15 years 11 months ago
Adapting Information Bottleneck Method for Automatic Construction of Domain-oriented Sentiment Lexicon
Domain-oriented sentiment lexicons are widely used for finegrained sentiment analysis on reviews; therefore, the automatic construction of domain-oriented sentiment lexicon is a f...
Songbo Tan, Weifu Du, Xiaochun Yun, Xueqi Cheng