Fundamentals of Business Intelligence, Wilfried Grossmann; Stefanie Rinderle-Ma
Автор: Wilfried Grossmann; Stefanie Rinderle-Ma Название: Fundamentals of Business Intelligence ISBN: 3662509407 ISBN-13(EAN): 9783662509401 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making.
Автор: Toshinori Munakata Название: Fundamentals of the New Artificial Intelligence ISBN: 1447168038 ISBN-13(EAN): 9781447168034 Издательство: Springer Рейтинг: Цена: 8378.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Symbolic AI covers areas such as knowledge-based systems, logical reasoning, symbolic machine learning, search techniques, and natural language processing.
Автор: Rick van der Lans Название: Data Virtualization for Business Intelligence Systems, ISBN: 0123944252 ISBN-13(EAN): 9780123944252 Издательство: Elsevier Science Рейтинг: Цена: 7409.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. This title outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments.
Автор: Rick Sherman Название: Business Intelligence Guidebook, ISBN: 012411461X ISBN-13(EAN): 9780124114616 Издательство: Elsevier Science Рейтинг: Цена: 7241.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled - projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.
After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget - turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.
Описание: This book covers all the basic concepts of business intelligence and performance management including strategic support, business applications, methodologies and technologies from the field, and thoroughly explores the benefits, issues and challenges of each.
Автор: Azevedo & Filipe Santos Название: Integration Of Data Mining In Business Intelligence Systems ISBN: 1466664770 ISBN-13(EAN): 9781466664777 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries.Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.
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