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» Evaluating algorithms that learn from data streams
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CIDM
2009
IEEE
15 years 9 months ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
16 years 5 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
LREC
2010
174views Education» more  LREC 2010»
15 years 6 months ago
SINotas: the Evaluation of a NLG Application
SINotas is a data-to-text NLG application intended to produce short textual reports on students'academic performance from a database conveying their grades, weekly attendance...
Roberto P. A. Araujo, Rafael L. de Oliveira, Eder ...
SIGMOD
2010
ACM
231views Database» more  SIGMOD 2010»
15 years 9 months ago
Automatically incorporating new sources in keyword search-based data integration
Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
Partha Pratim Talukdar, Zachary G. Ives, Fernando ...
ESA
2003
Springer
96views Algorithms» more  ESA 2003»
15 years 10 months ago
Streaming Geometric Optimization Using Graphics Hardware
In this paper we propose algorithms for solving a variety of geometric optimization problems on a stream of points in R2 or R3 . These problems include various extent measures (e.g...
Pankaj K. Agarwal, Shankar Krishnan, Nabil H. Must...