HDSVM: A High Efficiency Distributed SVM Framework over Data Stream

Published: Dec 1, 2017
Abstract
The application of Support Vector Machine (SVM) over data stream is growing with the increasing real-time processing requirements in classification field, like anomaly detection and real-time image processing. However, the dynamic live data with high volume and fast arrival rate in data streams make it challenging to apply SVM in data stream processing. Existing SVM implementations are mostly designed for batch processing and hardly satisfy the...
Paper Details
Title
HDSVM: A High Efficiency Distributed SVM Framework over Data Stream
Published Date
Dec 1, 2017
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.