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» Using Anonymized Data for Classification
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ACSC
2006
IEEE
15 years 9 months ago
Unsupervised band removal leading to improved classification accuracy of hyperspectral images
Remotely-sensed images of the earth’s surface are used across a wide range of industries and applications including agriculture, mining, defence, geography and geology, to name ...
R. Ian Faulconbridge, Mark R. Pickering, Michael J...
PARMA
2004
174views Database» more  PARMA 2004»
15 years 4 months ago
Fuzzy Miner - A Fuzzy System for Solving Pattern Classification Problems
The purpose of this paper is to study the problem of pattern classification as this is presented in the context of data mining. Among the various approaches we focus on the use of ...
Nikos Pelekis, Babis Theodoulidis, Ioannis Kopanak...
JAMIA
2010
79views more  JAMIA 2010»
14 years 10 months ago
A systematic literature review of automated clinical coding and classification systems
Clinical coding and classification processes transform natural language descriptions in clinical text into data that can subsequently be used for clinical care, research, and othe...
Mary H. Stanfill, Margaret Williams, Susan H. Fent...
CIARP
2003
Springer
15 years 6 months ago
Uniclass and Multiclass Connectionist Classification of Dialogue Acts
Classification problems are traditionally focused on uniclass samples, that is, each sample of the training and test sets has one unique label, which is the target of the classific...
María José Castro Bleda, David Vilar...
CIKM
2009
Springer
15 years 9 months ago
POkA: identifying pareto-optimal k-anonymous nodes in a domain hierarchy lattice
Data generalization is widely used to protect identities and prevent inference of sensitive information during the public release of microdata. The k-anonymity model has been exte...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...