Articles liés à Using Big Data for business perspectives
Synopsis
Master data is critical for any business organization. Big organizations like Oracle, Infosys, IBM, Google, Facebook and TCS started working on Master Data Management (MDM) in early 20’s. Multinational corporations spend millions of dollars for Managing their Master Data, so as to ensure quality of service and customer retention as well. Unlike big organizations, Small and Mid-sized Enterprises (SME's), because of their limited resources, are unable to exploit the economies of scale associated with master data management. In this paper a Synthetic Semantic Master Data Modeler (SSMDM) has been proposed, this modeler primarily uses the concept of Google’s knowledge graph to identify semantics within data sets. Using SSMDM, synthetic yet realistic master data was generated to find out probable ontologies within synthetic data sets. Based on these ontologies, some rules were framed to produce synthetic facts. These synthetic facts were further used to decide services and cuisines to be offered at a newly opened eating joint.
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À propos de l?auteur
Dr. Jaiteg Singh did his PhD in Engineering and Technology in the year 2010. He has published thirty five research papers in various national and international journals of repute, including four books. Saravjeet Singh is B-tech from Haryana Engineering College(KUK University, Haryana) with 78% in 2011, ME from Chitkara university with 8.94 CGPA
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Using Big Data for business perspectives
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659620505
ISBN 13 : 9783659620508
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh JaitegDr. Jaiteg Singh did his PhD in Engineering and Technology in the year 2010. He has published thirty five research papers in various national and international journals of repute, including four books. Saravjeet Singh is . N° de réf. du vendeur 5168902
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Using Big Data for business perspectives
Edité par
LAP LAMBERT Academic Publishing Okt 2014, 2014
ISBN 10 : 3659620505
ISBN 13 : 9783659620508
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master data is critical for any business organization. Big organizations like Oracle, Infosys, IBM, Google, Facebook and TCS started working on Master Data Management (MDM) in early 20's. Multinational corporations spend millions of dollars for Managing their Master Data, so as to ensure quality of service and customer retention as well. Unlike big organizations, Small and Mid-sized Enterprises (SME's), because of their limited resources, are unable to exploit the economies of scale associated with master data management. In this paper a Synthetic Semantic Master Data Modeler (SSMDM) has been proposed, this modeler primarily uses the concept of Google's knowledge graph to identify semantics within data sets. Using SSMDM, synthetic yet realistic master data was generated to find out probable ontologies within synthetic data sets. Based on these ontologies, some rules were framed to produce synthetic facts. These synthetic facts were further used to decide services and cuisines to be offered at a newly opened eating joint. 108 pp. Englisch. N° de réf. du vendeur 9783659620508
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Using Big Data for business perspectives
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659620505
ISBN 13 : 9783659620508
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master data is critical for any business organization. Big organizations like Oracle, Infosys, IBM, Google, Facebook and TCS started working on Master Data Management (MDM) in early 20's. Multinational corporations spend millions of dollars for Managing their Master Data, so as to ensure quality of service and customer retention as well. Unlike big organizations, Small and Mid-sized Enterprises (SME's), because of their limited resources, are unable to exploit the economies of scale associated with master data management. In this paper a Synthetic Semantic Master Data Modeler (SSMDM) has been proposed, this modeler primarily uses the concept of Google's knowledge graph to identify semantics within data sets. Using SSMDM, synthetic yet realistic master data was generated to find out probable ontologies within synthetic data sets. Based on these ontologies, some rules were framed to produce synthetic facts. These synthetic facts were further used to decide services and cuisines to be offered at a newly opened eating joint. N° de réf. du vendeur 9783659620508
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Using Big Data for business perspectives
Edité par
LAP LAMBERT Academic Publishing Okt 2014, 2014
ISBN 10 : 3659620505
ISBN 13 : 9783659620508
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master data is critical for any business organization. Big organizations like Oracle, Infosys, IBM, Google, Facebook and TCS started working on Master Data Management (MDM) in early 20¿s. Multinational corporations spend millions of dollars for Managing their Master Data, so as to ensure quality of service and customer retention as well. Unlike big organizations, Small and Mid-sized Enterprises (SME's), because of their limited resources, are unable to exploit the economies of scale associated with master data management. In this paper a Synthetic Semantic Master Data Modeler (SSMDM) has been proposed, this modeler primarily uses the concept of Google¿s knowledge graph to identify semantics within data sets. Using SSMDM, synthetic yet realistic master data was generated to find out probable ontologies within synthetic data sets. Based on these ontologies, some rules were framed to produce synthetic facts. These synthetic facts were further used to decide services and cuisines to be offered at a newly opened eating joint.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. N° de réf. du vendeur 9783659620508
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