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Clustering for monitoring distributed data streams
Maria Barouti
, Jacob Kogan
, Yaakov Malinovsky
,
Daniel Keren
Department of Computer Science
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
Overview
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Dive into the research topics of 'Clustering for monitoring distributed data streams'. Together they form a unique fingerprint.
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Keyphrases
Clustering Algorithm
100%
Distributed Dataflows
100%
Communication Load
66%
Challenging Problems
33%
Similarity Data
33%
Systems Theory
33%
Constraint Set
33%
Clustering Approach
33%
Feature Selection
33%
Centralized Algorithm
33%
Monitoring Data
33%
Information Gain
33%
Communication Overhead
33%
Distributed Systems
33%
Threshold Function
33%
Monitoring Value
33%
Combined System
33%
Monitoring Problem
33%
Special Techniques
33%
Novel Type
33%
Computer Science
Data Stream
100%
Clustering Algorithm
75%
Data Item
25%
Monitoring Data
25%
Feature Selection
25%
clustering approach
25%
Communication Overhead
25%
Information Gain
25%
Feature Extraction
25%
Distributed System
25%
Mathematics
Distributed Data
100%
Clustering Algorithm
100%
Threshold Function
33%
Distributed Systems
33%
Data Item
33%
Information Gain
33%
Systems Theory
33%