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» Phenomenal Data Mining: From Data to Phenomena
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IS
2006
15 years 1 months ago
The MurMur project: Modeling and querying multi-representation spatio-temporal databases
Successful information management implies the ability to design accurate representations of the real world of interest, in spite of the diversity of perceptions from the applicati...
Christine Parent, Stefano Spaccapietra, Esteban Zi...
TVCG
1998
197views more  TVCG 1998»
15 years 1 months ago
A New Line Integral Convolution Algorithm for Visualizing Time-Varying Flow Fields
—New challenges on vector field visualization emerge as time-dependent numerical simulations become ubiquitous in the field of computational fluid dynamics (CFD). To visualize da...
Han-Wei Shen, David L. Kao
SCFBM
2008
119views more  SCFBM 2008»
15 years 1 months ago
Boolean network simulations for life scientists
Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean network...
István Albert, Juilee Thakar, Song Li, Ranr...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 2 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
14 years 11 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti