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FLAIRS
2004
15 years 8 months ago
Clustering Spatial Data in the Presence of Obstacles
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
Xin Wang, Howard J. Hamilton
IRMA
2000
15 years 8 months ago
Bridging the gap between hard and soft information genres
The genre theory has been earlier introduced as a means for analyzing organizational communication. The terms hard and soft information genre have been employed to refer to the ex...
Anne Karjalainen, Airi Salminen
CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 6 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
JBI
2006
107views Bioinformatics» more  JBI 2006»
15 years 6 months ago
KDE Bioscience: Platform for bioinformatics analysis workflows
Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the...
Qiang Lu, Pei Hao, Vasa Curcin, Wei-Zhong He, Yuan...
JMLR
2010
130views more  JMLR 2010»
15 years 1 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...