Data Analytics and Decision Support for Cybersecurity, Iv?n Palomares Carrascosa; Harsha Kumara Kalutarag
Автор: Iv?n Palomares Carrascosa; Harsha Kumara Kalutarag Название: Data Analytics and Decision Support for Cybersecurity ISBN: 3319594389 ISBN-13(EAN): 9783319594385 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception.
This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring.
Researchers and professionals alike will find the chapters an essential read for further research on the topic.
Автор: Boris Deliba?i?; Jorge E. Hern?ndez; Jason Papatha Название: Decision Support Systems V – Big Data Analytics for Decision Making ISBN: 3319185322 ISBN-13(EAN): 9783319185323 Издательство: Springer Рейтинг: Цена: 37270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 'Big Data' Decision Making Use Cases.- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation.- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda.- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach.- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case.- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.- Decision Support Model for Participatory Management of Water Resource.- Modeling Interactions Among Criteria in MCDM Methods: A Review.
Автор: Marie De Freminville Название: Cybersecurity and Decision Makers: Data Security and Digital Trust ISBN: 1786305194 ISBN-13(EAN): 9781786305190 Издательство: Wiley Рейтинг: Цена: 146730.00 T Наличие на складе: Поставка под заказ. Описание: Cyber security is a key issue affecting the confidence of Internet users and the sustainability of businesses. It is also a national issue with regards to economic development and resilience. As a concern, cyber risks are not only in the hands of IT security managers, but of everyone, and non-executive directors and managing directors may be held to account in relation to shareholders, customers, suppliers, employees, banks and public authorities. The implementation of a cybersecurity system, including processes, devices and training, is essential to protect a company against theft of strategic and personal data, sabotage and fraud. Cybersecurity and Decision Makers presents a comprehensive overview of cybercrime and best practice to confidently adapt to the digital world; covering areas such as risk mapping, compliance with the General Data Protection Regulation, cyber culture, ethics and crisis management. It is intended for anyone concerned about the protection of their data, as well as decision makers in any organization.
Автор: Albright S. Christian, Winston Wayne L. Название: Business Analytics: Data Analysis & Decision Making ISBN: 0357109953 ISBN-13(EAN): 9780357109953 Издательство: Cengage Learning Рейтинг: Цена: 84470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel. The approach is also compatible with earlier versions of Excel for your convenience.
This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public. Current problems and cases demonstrate the importance of the concepts you are learning. In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite.
MindTap online resources are also available.
Автор: Madjid Tavana; Srikanta Patnaik Название: Recent Developments in Data Science and Business Analytics ISBN: 3030102599 ISBN-13(EAN): 9783030102593 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.
Автор: Jaakonmдki Roope, Vom Brocke Jan, Dietze Stefan Название: Learning Analytics Cookbook: How to Support Learning Processes Through Data Analytics and Visualization ISBN: 3030433765 ISBN-13(EAN): 9783030433765 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels.
Автор: Isabelle Linden; Shaofeng Liu; Christian Colot Название: Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems ISBN: 3319574868 ISBN-13(EAN): 9783319574868 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017.
Автор: Dunja Mladenic; Nada Lavra?; Marko Bohanec; Steve Название: Data Mining and Decision Support ISBN: 1461350042 ISBN-13(EAN): 9781461350040 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Sreedhar G. Название: Web Data Mining and the Development of Knowledge-Based Decision Support Systems ISBN: 1522518770 ISBN-13(EAN): 9781522518778 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 160770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses.Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.
Автор: Dargam Название: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support ISBN: 3319903144 ISBN-13(EAN): 9783319903149 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018.
Автор: Grigsby Mike Название: Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques ISBN: 0749482168 ISBN-13(EAN): 9780749482169 Издательство: Неизвестно Рейтинг: Цена: 42230.00 T Наличие на складе: Невозможна поставка. Описание: Understand how to apply marketing science techniques fearlessly, to improve consumer insights and compete more effectively in the marketplace.
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