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8篇 您的检索式：作者名="Kevin McCormack"

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		题名	作者	年代	出处	被引量
	1	The development of a supply chain management process maturity model using the concepts of business process orientation显示文摘	ARCHIE LOCKAMY III KEVIN MCCORMACK	2004	Supply Chain Management:An International Journal2004，9，4：	1
	2	Supply chain maturity assessment:a roadmap for building the extended supply chain显示文摘	KEVIN MCCORMACK	2001	Supply Chain Practice2001，3，4：	1
	3	Modeling sup- plier risks using Bayesian networks 显示文摘	Archie Lockamy III Kevin McCormack	2012	Industrial Man- agement & Data Systems2012，112，2：	1
	4	The Development of a Supply Chain Management Process Maturity Model Using the Concepts of Business Process Orientation 显示文摘	Kevin McCormack and Archie Lockamy Ⅲ	2004	Supply Chain Management2004，9，4：	1
	5	A Mathematical Solution to String Matching for Big Data Linking显示文摘	Kevin McCormack Mary Smyth	2017	Journal of Statistical Science and Application2017，5，2：	1
	6	The development of a supply chain management process maturity model using the concepts of business process orientation 显示文摘	Kevin McCormack and Archie Lockamy III	2004	Supply Chain Management2004，9，4：	1
	7	Cyber Security-Protecting Personal Data显示文摘Many organizations have datasets which contain a high volume of personal data on individuals,e.g.,health data.Even without a name or address,persons can be identified based on the details(variables)on the dataset.This is an important issue for big data holders such as public sector organizations(e.g.,Public Health Organizations)and social media companies.This paper looks at how individuals can be identified from big data using a mathematical approach and how to apply this mathematical solution to prevent accidental disclosure of a person’s details.The mathematical concept is known as the“Identity Correlation Approach”(ICA)and demonstrates how an individual can be identified without a name or address using a unique set of characteristics(variables).Secondly,having identified the individual person,it shows how a solution can be put in place to prevent accidental disclosure of the personal details.Thirdly,how to store data such that accidental leaks of the datasets do not lead to the disclosure of the personal details to unauthorized users.	Kevin McCormack Mary Smyth	2021	Journal of Mathematics and System Science2021，11，2：	0
	8	Privacy Protection for Big Data Linking using the Identity Correlation Approach显示文摘	Kevin McCormack Mary Smyth	2017	Journal of Statistical Science and Application2017，5，3：	0

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