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Mining Data Streams: A Review Mohamed Medhat Gaber, Arkady Zaslavsky and Shonali Krishnaswamy Centre for Distributed Systems and Software Engineering, Monash University
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Document Date: 2012-08-10 21:10:45

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File Size: 208,46 KB

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Distributed Systems / MIT Press / ACM Press / Data Stream Systems / Sensor Networks / Database Systems / Astronomical Data Analysis Software / /

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Germany / Italy / Egypt / France / United States / Canada / Australia / China / Spain / /

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Digital Systems Research Center / Monash University / /

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direct solution / Client/server / online aggregation / streaming applications / offline mining / Approximation algorithms / energy / space efficient solutions / stream mining / approximate solution / mining / computing / web logs / stream processing / not be solved using approximation algorithms / /

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Data Streams / /

OperatingSystem

Microsoft Windows / /

Organization

MIT / Monash University / National Aeronautics and Space Administration / Shonali Krishnaswamy Centre for Distributed Systems and Software Engineering / Stanford / /

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Diane Cook / P. Blair / S. Madden / V / Raghu Ramakrishnan / Rajeev Rastogi / Sanghamitra Badhyopadhyay / Morgan Kaufmann / H. Wang / Ujjwal Maulik / Johannes Gehrke / J. Han / Lawrence Holder / Arkady Zaslavsky / W. Fan / P. Yu / Mohamed Medhat Gaber / /

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Franklin / Cooper / /

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DC / /

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Washington / Florida / California / Massachusetts / /

PublishedMedium

Machine Learning / Theory of Computing / Lecture Notes in Computer Science / /

Technology

2.3 Algorithm / design algorithms / machine learning / 2.1 Approximation algorithms Approximation algorithms / mobile device / using approximation algorithms / mobile devices / cellular telephone / OLAP technology / proposed algorithm / Java / mining algorithm / Approximation algorithms / Data mining / Machine Learning Technologies / data mining system / Client/server / PDA / /

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