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ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
15 years 4 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 ...
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
16 years 16 hour ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak
FLAIRS
2006
15 years 8 months ago
Evaluation of the q-matrix Method in Understanding Student Logic Proofs
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. We present a novel application of ...
Tiffany Barnes
KDD
2006
ACM
240views Data Mining» more  KDD 2006»
16 years 7 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
KDD
2000
ACM
222views Data Mining» more  KDD 2000»
15 years 10 months ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang