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Michael O. Moorman
Saint Leo University
Saint Leo, Florida
 

Michael Moorman received his Bachelor of Science degree from the United States Military Academy in June 1963. He served 21 years in the US Air Force before moving into the academic field where he has been since. During his tenure in the Air Force, he earned master’s degrees in mechanical engineering from Arizona State University and in business administration from the University of Northern Colorado. He obtained his PhD in 1991 in adult education and computer science from Texas A&M University- Commerce. He has been a full-time faculty member at Saint Leo University in Saint Leo, Florida since 1989, and has been a professor of computer science since 2003.

As a teaching professor, he spends much of his time working with students to broaden their knowledge and prepare them for the real world outside of academia. He was chair of the computer information systems department from 1992 to 1999, and chair of the department of business administration from 2002 to 2006. He was instrumental in creating the computer information systems and computer science majors at Saint Leo. He has taught courses across the spectrum of computing, including at the undergraduate level--Programming in Visual Basic, Programming in C/C++, Programming in Java, Spreadsheet Applications, Introduction to Internet Applications, Computer Architecture, E-Commerce, Systems Analysis and Design, Decision Support Systems, Disaster Recovery, Database Concepts and Programming, Network Theory and Design, and Project Management--and at the graduate level--Decision Support Systems, Web Security Management, and Systems Security Management.

His areas of interest include databases, programming languages, computer applications and information systems, particularly as they are applied to business. He is a member of ACM, IEEE and the local chapters of both. He has been a reviewer for Computing Reviews since 2001, and has written over 20 reviews.


     

Expert deduction rules in data mining with association rules: a case study
Rauch J. Knowledge and Information Systems 59(1): 167-195, 2019.  Type: Article

The author uses logical calculus to create and prove deduction and expert deduction rules in this paper that deals with concepts and material about the analysis of domains and data mining....

 

Data cleaning
Ilyas I., Chu X., ACM, New York, NY, 2019. 285 pp.  Type: Book

This detailed book covers the concepts of data cleaning in eight chapters, including “Outlier Detection,” “Data Deduplication,” “Data Transformation,” “Data Quality ...

 

Understanding database reconstruction attacks on public data
Garfinkel S., Abowd J., Martindale C. Queue 16(5): 28-53, 2018.  Type: Article

I found this article on the US Census Bureau to be a fascinating tale of the history of the census, including attacks on it and methods that can be used to prevent the loss of personally identifying information (PII) stored there. The ...

 

Modelling majority and expert influences on opinion formation in online social networks
Das R., Kamruzzaman J., Karmakar G. World Wide Web 21(3): 663-685, 2018.  Type: Article

This paper presents an interesting and novel approach to more accurately solving the problem of opinion formation. The authors “introduce the concept of consistency in opinions and associated expertise levels of neighboring a...

 

Designing an Internet
Clark D., The MIT Press, Cambridge, MA, 2018. 432 pp.  Type: Book (978-0-262038-60-7)

This comprehensive view of the development and growth of the Internet includes the author’s review and critique of the proposed changes and improvements since its inception. It has 15 chapters, an appendix, a list of acknowle...

 
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