Articles liés à Anomaly Detection Framework for Big Data

Anomaly Detection Framework for Big Data - Couverture souple

Gyamfi, Nana Kwame; Katsriku, Ferdinand; Aidoo, Anthony

 
9783330043039: Anomaly Detection Framework for Big Data
Couverture souple
ISBN 10 : 3330043032 ISBN 13 : 9783330043039
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

Financial service organizations have a number of strategic goals including the acquisition and retention of new and existing customers through the application of various management methodologies. In view of these goals, the institutions generate large volumes of data on profile data, purchase and browsing history and social media data daily. In recent times, businesses have increased the volume of data they process and analyze and this comes at a high computational cost in its analysis. Due to the high increase in the volume of data, most institutions are moving away from the measure of the data volume by volume and considering other parameters. The additional parameters of interest to support evaluation of systems-enabled strategy include variety and velocity. My motivated to design and employ techniques that will stem from both approaches to designing a more hybrid approach which will perform better and also moderate in terms of computational cost.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Financial service organizations have a number of strategic goals including the acquisition and retention of new and existing customers through the application of various management methodologies. In view of these goals, the institutions generate large volumes of data on profile data, purchase and browsing history and social media data daily. In recent times, businesses have increased the volume of data they process and analyze and this comes at a high computational cost in its analysis. Due to the high increase in the volume of data, most institutions are moving away from the measure of the data volume by volume and considering other parameters. The additional parameters of interest to support evaluation of systems-enabled strategy include variety and velocity. My motivated to design and employ techniques that will stem from both approaches to designing a more hybrid approach which will perform better and also moderate in terms of computational cost.

Biographie de l'auteur

Cyber Security Studies and Research Laboratory (2015-2016, Meerut, India), Post Graduate Diploma in Cyber Security, University of Rochester/ University of Ghana, USA/ Ghana (Expected may 2016), M.Phil Computer Science Sikkim Manipal University, India, 2011, M.Sc Information Technology Presbyterian Univ Col of Ghana, 2005-2008.

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
2017
Langue
anglais
ISBN 10 
3330043032
ISBN 13 
9783330043039
Reliure
Broché
Nombre de pages
136
Coordonnées du fabricant
non disponible
Personne responsable
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