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Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities

Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities

Semir Ibrahimović, Lejla Turulja, Nijaz Bajgorić
Copyright: © 2017 |Pages: 180
ISBN13: 9781522522683|ISBN10: 1522522689|EISBN13: 9781522522690
DOI: 10.4018/978-1-5225-2268-3
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MLA

Ibrahimović, Semir, et al. Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2268-3

APA

Ibrahimović, S., Turulja, L., & Bajgorić, N. (2017). Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities. IGI Global. https://doi.org/10.4018/978-1-5225-2268-3

Chicago

Ibrahimović, Semir, Lejla Turulja, and Nijaz Bajgorić. Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2268-3

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Technological tools have enhanced the available opportunities and activities in the realm of e-business. In organizations that support real-time business-critical operations, the proper use and maintenance of relevant technology is crucial.

Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities is a pivotal book that features the latest research perspectives on the implementation of effective information systems in business contexts. Highlighting relevant topics such as data security, investment viability, and operational risk management, this book is ideally designed for managers, professionals, academics, practitioners, and students interested in novel techniques for maintaining and measuring information system availability.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Business Information Systems and Analytics (ABISA) Book Series
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Preface
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Chapters
Back Materials
Conclusion
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Related Readings
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Index
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