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Automated online feature selection and learning from high-dimensional streaming data using an ensemble of Kohonen neurons
Asim Roy
Information Systems
Accountancy, School of
Business, W. P. Carey School of (WPC)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
10
Scopus citations
Overview
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Dive into the research topics of 'Automated online feature selection and learning from high-dimensional streaming data using an ensemble of Kohonen neurons'. Together they form a unique fingerprint.
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Keyphrases
High-dimensional Data Streams
100%
Feature Learning
100%
Kohonen Network
100%
Kohonen
100%
Online Feature Selection
100%
Feature Selection
66%
Class-based Features
66%
Online Learning
33%
Gene Expression
33%
Desktop
33%
Streaming Data
33%
All-phase
33%
Pattern Classification
33%
Highly Parallel
33%
Computational Results
33%
Problem-based
33%
Selected Features
33%
Parallel Implementation
33%
Online Algorithms
33%
Apache Spark
33%
Pattern Classifier
33%
Expression Problem
33%
Streaming Big Data
33%
Computer Science
Data Streaming
100%
Feature Selection
100%
Feature Extraction
100%
Big Data
33%
Trained Network
33%
Pattern Classification
33%
Parallel Implementation
33%
Essential Feature
33%
Apache Spark
33%
on-line algorithm
33%
Problem Expression
33%
Electronic Learning
33%