9783659620508 - using big data for business perspectives di singh, jaiteg; singh, saravjeet (6 risultati)
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 47,90
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: 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….
- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 172,00
EUR 29,19 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: 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 o…f 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.
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 45,45
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: 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 .
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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 do…llars 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.
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,90
EUR 60,90 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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 dol…lars 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.
