Statistical Analysis of Continuous Data Streams Using DSMS: Mining of Data Streams - Couverture souple

Akhtar, Nadeem; Khan, Faraz; Haque Siddiqui, Faridul

 
9783846545201: Statistical Analysis of Continuous Data Streams Using DSMS: Mining of Data Streams
Couverture souple
ISBN 10 : 3846545201 ISBN 13 : 9783846545201
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Several applications involve a transient stream of data which has to be modeled and analyzed continuously. Their continuous arrival in multiple, rapid, time-varying and possibly unpredictable and unbounded way make the analysis difficult and opens fundamentally new research problems. Examples of such data intensive applications include stock market, road traffic analysis, whether forecasting systems etc. Data Stream Management Systems are specifically designed for handling continuous data streams. They can handle multiple, time-varying, unpredictable and unbounded streams which cannot be handled using traditional tools. In this work, we have used a Data Stream Management System- Stanford STREAM in three different application domain namely Road Traffic analysis, Habitat Monitoring analysis and Network Packet analysis. We have also used another DSMS, telegraphCQ, coupled with jamdroid, an open source road traffic analysis system, for mining road traffic data.

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Présentation de l'éditeur

Several applications involve a transient stream of data which has to be modeled and analyzed continuously. Their continuous arrival in multiple, rapid, time-varying and possibly unpredictable and unbounded way make the analysis difficult and opens fundamentally new research problems. Examples of such data intensive applications include stock market, road traffic analysis, whether forecasting systems etc. Data Stream Management Systems are specifically designed for handling continuous data streams. They can handle multiple, time-varying, unpredictable and unbounded streams which cannot be handled using traditional tools. In this work, we have used a Data Stream Management System- Stanford STREAM in three different application domain namely Road Traffic analysis, Habitat Monitoring analysis and Network Packet analysis. We have also used another DSMS, telegraphCQ, coupled with jamdroid, an open source road traffic analysis system, for mining road traffic data.

Biographie de l'auteur

Nadeem Akhtar received his B. Tech and M.Tech degree in Computer Science from Aligarh Muslim University, Aligarh, India. He is currently working as Assistant Professor in the department of Computer Engineering, Aligarh Muslim University. His research interests include Data Mining, Database Management System and Operating Systems.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3846545201
ISBN 13 
9783846545201
Reliure
Broché
Nombre de pages
88
Coordonnées du fabricant
non disponible
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