Data Mining Business Intelligence by Matthew Ugochukwu (13 results)

Condition: New.

Paperback. Condition: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

Taschenbuch. Condition: Neu. Applicazioni di business intelligence e rete neurale artificiale | applicazioni di data mining di business intelligence nei servizi di vendita al dettaglio con l'algoritmo della rete neurale artificiale (rna) | Ugochukwu O. Matthew (u. a.) | Taschenbuch | Italienisch | 2023 | Sciencia Scripts | EAN 9786205649428 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Anwendungen für Business Intelligence und Künstliche Neuronale Netze | Data Mining Business Intelligence Anwendungen im Einzelhandel unter Verwendung eines Künstlichen Neuronalen Netzes (KNN) Algorithmus | Ugochukwu O. Matthew (u. a.) | Taschenbuch | 80 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786205649381 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is an emerging technology that envisages pattern, process and various methods of accessing information in large databases, telecoms inclusive. Telecommunication companies are operating today in an extremely challenging business environment,(Joseph, 2013). This industry is in possession of large quantities of data, generated from numerous operational systems, and is confronted with many business problems that need urgent handling. Large Volume of knowledge is generated from various operational systems and these are used for determination of several business issues that needed imperative handling. This knowledge represents purposeful areas of maintenance, safety and quality processes, inventory, purchase, document management, transactions and security issues. Data processing strategies and business intelligence technology are widely used for handling the business issues in today trade and investment climate. Telecommunication has been among the first to adopt Business Intelligence (BI) and Data Mining technologies, a fundamental step to service invention and globalization. 100 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In many customer oriented enterprise environment like banks and retail businesses, data mining business intelligence (BI) performs key functions that enable business organizations determine investment risks and estimate returns on investment. It aids in evaluating the gathered information and presenting them in an understandable and practical design that promote data mining analytics. In the current study, banking and retail services were viewed among the rapidly developing technological industry that maintains significant amounts of electronic data. Handling enormous amounts of transactional data and making choices about risk, client retention, fraud detection and prevention, and marketing management are significant tasks in the banking and retail industries. On the account that fraudsters constantly come up with new schemes and refine their existing schemes so they may avoid being easily identified, it is challenging to identify fraud and prevent it from happening. In order to monitor activities relating to fraud prevention, fraud detection, customer retention, marketing and risk management, business performance, loan classification, and improving customer satisfaction.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data mining is an emerging technology that envisages pattern, process and various methods of accessing information in large databases, telecoms inclusive. Telecommunication companies are operating today in an extremely challenging business environment,(Jose.…

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining is an emerging technology that envisages pattern, process and various methods of accessing information in large databases, telecoms inclusive. Telecommunication companies are operating today in an extremely challenging business environment,(Joseph, 2013). This industry is in possession of large quantities of data, generated from numerous operational systems, and is confronted with many business problems that need urgent handling. Large Volume of knowledge is generated from various operational systems and these are used for determination of several business issues that needed imperative handling. This knowledge represents purposeful areas of maintenance, safety and quality processes, inventory, purchase, document management, transactions and security issues. Data processing strategies and business intelligence technology are widely used for handling the business issues in today trade and investment climate. Telecommunication has been among the first to adopt Business Intelligence (BI) and Data Mining technologies, a fundamental step to service invention and globalization.…

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining is an emerging technology that envisages pattern, process and various methods of accessing information in large databases, telecoms inclusive. Telecommunication companies are operating today in an extremely challenging business environment,(Joseph, 2013). This industry is in possession of large quantities of data, generated from numerous operational systems, and is confronted with many business problems that need urgent handling. Large Volume of knowledge is generated from various operational systems and these are used for determination of several business issues that needed imperative handling. This knowledge represents purposeful areas of maintenance, safety and quality processes, inventory, purchase, document management, transactions and security issues. Data processing strategies and business intelligence technology are widely used for handling the business issues in today trade and investment climate. Telecommunication has been among the first to adopt Business Intelligence (BI) and Data Mining technologies, a fundamental step to service invention and globalization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.…

Taschenbuch. Condition: Neu. Data Mining Business Intelligence Applications | Business Intelligence & Neural Network Implementation | Ugochukwu O. Matthew (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200479372 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In vielen kundenorientierten Unternehmensumgebungen wie Banken und Einzelhandelsgeschäften erfüllt Data Mining Business Intelligence (BI) Schlüsselfunktionen, die es Unternehmen ermöglichen, Investitionsrisiken zu bestimmen und Investitionserträge abzuschätzen. Es hilft bei der Auswertung der gesammelten Informationen und stellt sie in einem verständlichen und praktischen Design dar, das Data-Mining-Analysen fördert. In der vorliegenden Studie wurden Bank- und Einzelhandelsdienstleistungen als eine sich schnell entwickelnde technologische Branche betrachtet, in der große Mengen an elektronischen Daten anfallen. Der Umgang mit enormen Mengen an Transaktionsdaten und Entscheidungen über Risiken, Kundenbindung, Betrugserkennung und -prävention sowie Marketingmanagement sind wichtige Aufgaben im Banken- und Einzelhandelssektor. Da Betrüger ständig neue Betrugsmethoden entwickeln und ihre bestehenden Methoden verfeinern, damit sie nicht so leicht identifiziert werden können, ist es eine Herausforderung, Betrug zu erkennen und zu verhindern. Zur Überwachung von Aktivitäten in den Bereichen Betrugsprävention, Betrugserkennung, Kundenbindung, Marketing und Risikomanagement, Geschäftsentwicklung, Kreditklassifizierung und Verbesserung der Kundenzufriedenheit. …