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Integration Challenges for Analytics, Business Intelligence, and Data Mining, 1 volume, Azevedo Ana, Santos Manuel Filipe


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Автор: Azevedo Ana, Santos Manuel Filipe
Название:  Integration Challenges for Analytics, Business Intelligence, and Data Mining, 1 volume
ISBN: 9781799857815
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1799857816
Обложка/Формат: Hardcover
Страницы: 276
Вес: 0.93 кг.
Дата издания: 24.11.2020
Язык: English
Размер: 27.99 x 21.59 x 1.75 cm
Читательская аудитория: Tertiary education (us: college)
Рейтинг:
Поставляется из: Англии
Описание: 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.


Integration Challenges for Analytics, Business Intelligence, and Data Mining, 1 volume

Автор: Azevedo Ana, Santos Manuel Filipe
Название: Integration Challenges for Analytics, Business Intelligence, and Data Mining, 1 volume
ISBN: 1799857824 ISBN-13(EAN): 9781799857822
Издательство: Mare Nostrum (Eurospan)
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Цена: 21318.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents 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.

Impacts and Challenges of Cloud Business Intelligence

Автор: Aljawarneh Shadi, Malhotra Manisha
Название: Impacts and Challenges of Cloud Business Intelligence
ISBN: 1799850404 ISBN-13(EAN): 9781799850403
Издательство: Mare Nostrum (Eurospan)
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Цена: 24453.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Cloud computing provides an easier alternative for starting an IT-based business organization that requires much less of an initial investment. Cloud computing offers a significant edge of traditional computing with big data being continuously transferred to the cloud. For extraction of relevant data, cloud business intelligence must be utilized. Cloud-based tools, such as customer relationship management (CRM), Salesforce, and Dropbox are increasingly being integrated by enterprises looking to increase their agility and efficiency. Impacts and Challenges of Cloud Business Intelligence is a cutting-edge scholarly resource that provides comprehensive research on business intelligence in cloud computing and explores its applications in conjunction with other tools. Highlighting a wide range of topics including swarm intelligence, algorithms, and cloud analytics, this book is essential for entrepreneurs, IT professionals, managers, business professionals, practitioners, researchers, academicians, and students.

Impacts and Challenges of Cloud Business Intelligence

Автор: Aljawarneh Shadi, Malhotra Manisha
Название: Impacts and Challenges of Cloud Business Intelligence
ISBN: 1799854477 ISBN-13(EAN): 9781799854470
Издательство: Mare Nostrum (Eurospan)
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Цена: 18810.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents research on business intelligence in cloud computing and explores its applications in conjunction with other tools. Highlighting a wide range of topics including swarm intelligence, algorithms, and cloud analytics, this book is for entrepreneurs, IT professionals, business professionals, practitioners, researchers, academics and students.


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