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AAAI
2008
14 years 17 days ago
Learning to Improve Earth Observation Flight Planning
This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science investigation...
Robert A. Morris, Nikunj C. Oza, Leslie Keely, Eli...
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 4 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 4 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni
KDD
1998
ACM
140views Data Mining» more  KDD 1998»
14 years 2 months ago
Active Templates: Comprehensive Support for the Knowledge Discovery Process
The goal of Active Template research is to create a single, unified environment that a data analyst can use to carry out a knowledge discovery project, and to deliver the resultin...
Randy Kerber, Hal Beck, Tej Anand, Bill Smart