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| 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. |
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1 - 10 of 41
reviews
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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....
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Aug 11 2020 |
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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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Jan 28 2020 |
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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 ...
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Oct 7 2019 |
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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 ...
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Sep 30 2019 |
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Big data analytics in science Wei Wang. KDD2016 video, 01:02:20, published on Apr 4, 2016, https://www.youtube.com/watch?v=JychF6WgjWk. Type: Video
The presenter frequently refers to slides on a screen via hand gestures; however, except for one instance, less than one-quarter of any slide is ever visible in the video. As a result, the presented material is very difficult to follow...
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Dec 5 2018 |
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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...
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May 30 2018 |
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Plane formation by synchronous mobile robots in the three-dimensional Euclidean space Yamauchi Y., Uehara T., Kijima S., Yamashita M. Journal of the ACM 64(3): 1-43, 2017. Type: Article
This is an interesting and thorough investigation of the plane formation problem. This problem addresses how a large group of robots moving in 3D Euclidean space--that can see but have no identification, no access to a common ...
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Feb 16 2018 |
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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study Campos G., Zimek A., Sander J., Campello R., Micenková B., Schubert E., Assent I., Houle M. Data Mining and Knowledge Discovery 30(4): 891-927, 2016. Type: Article
This paper is a comprehensive study of the methods involved in determining the presence of outliers in datasets. There are few recent comparable works in the discipline, with most oriented toward data mining and various computer tools ...
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Jul 31 2017 |
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Using regression makes extraction of shared variation in multiple datasets easy Korpela J., Henelius A., Ahonen L., Klami A., Puolamäki K. Data Mining and Knowledge Discovery 30(5): 1112-1133, 2016. Type: Article
This interesting paper presents an application that could be of value to individuals working in data analysis of sets, trying to find commonalities among what appears to be unrelated data. The idea behind the derivation of shared varia...
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Nov 23 2016 |
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Excel 2013 for physical sciences statistics: a guide to solving practical problems Quirk T., Quirk M., Horton H., Springer International Publishing, New York, NY, 2016. 242 pp. Type: Book (978-3-319289-63-2)
Excel 2013 for physical sciences statistics is an interesting and valuable little book. It shows how to use Microsoft Excel functions and add-ins to accomplish basic statistical tasks such as finding the mean, standard deviation...
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Aug 3 2016 |
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