Using Big Data Business by Singh Jaiteg (6 results)

Taschenbuch. Condition: Neu. Using Big Data for business perspectives | Jaiteg Singh (u. a.) | Taschenbuch | 108 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659620508 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condition: 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.…

Condition: 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 .…

Taschenbuch. Condition: 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.…

Taschenbuch. Condition: 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.…