As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.
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Professor Ana Azevedo holds a PhD in Information Systems and Technologies from the University of Minho, Portugal. She is an integrated member of the CEOS.PP research center and was member of its Directive Board. She is a senior lecture in the Information Systems Department, School of Business, Polytechnic of Porto, Portugal teaching courses on Analytics, Business Intelligence, Research Methodologies, and E-Commerce, and is member of the Scientific Board of the Master in E-Business. She has published articles in both journals and conference proceedings, and she collaborates in the editorial teams of several journals. She has served as chair for several conferences as well as special sessions in conferences. She has been guest editor for a number of books and special journals issues. She regularly participates as a member of the program committee for conferences and is a regular reviewer for journals and conferences.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. The book covers a range of topics, including big data, artificial intelligence, and decision making. N° de réf. du vendeur 448342785
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Buch. Etat : Neu. Integration Challenges for Analytics, Business Intelligence, and Data Mining | Ana Azevedo (u. a.) | Buch | Gebunden | Englisch | 2020 | Engineering Science Reference | EAN 9781799857815 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 119531709
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students. N° de réf. du vendeur 9781799857815
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