Anthony Scime

Anthony Scime received the Doctor of Arts in 1997 from George Mason University with an interdisciplinary focus in Information Systems and Education. Currently, he is at the Computer Science Department of the State University of New York College at Brockport (USA), where he teaches courses in systems analysis and design, project management, and computer system organization. Prior to joining academia, he spent more than 20 years in industry and government applying information systems to solve large-scale problems. Dr. Scime is an internationally registered technology specialist (IR7) in the fields of information systems and knowledge management, and has been listed in the International Who’s Who of Information Technology. His research interests include the World Wide Web as an information system and database, information retrieval, knowledge creation and management, decision making from information, and computing education.

Publications

Expert Knowledge in Data Mining
Anthony Scime. © 2015. 8 pages.
Classification Trees as Proxies
Anthony Scime, Nilay Saiya, Gregg R. Murray, Steven J. Jurek. © 2015. 14 pages.
In data analysis, when data are unattainable, it is common to select a closely related attribute as a proxy. But sometimes substitution of one attribute for another is not...
Finding Persistent Strong Rules: Using Classification to Improve Association Mining
Anthony Scime, Karthik Rajasethupathy, Kulathur S. Rajasethupathy, Gregg R. Murray. © 2013. 22 pages.
Data mining is a collection of algorithms for finding interesting and unknown patterns or rules in data. However, different algorithms can result in different rules from the same...
ANGEL Mining
Tyler Swanger, Kaitlyn Whitlock, Anthony Scime, Brendan P. Post. © 2013. 22 pages.
This chapter data mines the usage patterns of the ANGEL Learning Management System (LMS) at a comprehensive college. The data includes counts of all the features ANGEL offers its...
Social Science Data Analysis: The Ethical Imperative
Anthony Scime, Gregg R. Murray. © 2013. 17 pages.
Social scientists address some of the most pressing issues of society such as health and wellness, government processes and citizen reactions, individual and collective...
ANGEL Mining
Tyler Swanger, Kaitlyn Whitlock, Anthony Scime, Brendan P. Post. © 2012. 22 pages.
This chapter data mines the usage patterns of the ANGEL Learning Management System (LMS) at a comprehensive college. The data includes counts of all the features ANGEL offers its...
Finding Persistent Strong Rules: Using Classification to Improve Association Mining
Anthony Scime, Karthik Rajasethupathy, Kulathur S. Rajasethupathy, Gregg R. Murray. © 2011. 23 pages.
Data mining is a collection of algorithms for finding interesting and unknown patterns or rules in data. However, different algorithms can result in different rules from the same...
Delivery in the Net Economy
Anthony Scime, Anthony C. Scime. © 2010. 21 pages.
Firms need to deliver their products. In the Net Economy, delivery often has to leave the Net and be provided through traditional means. The firm’s delivery mechanism influences...
Web Page Extension of Data Warehouses
Anthony Scime. © 2009. 6 pages.
Data warehouses are constructed to provide valuable and current information for decision-making. Typically this information is derived from the organization’s functional...
Computing Curriculum Analysis and Development
Anthony Scime. © 2009. 5 pages.
Information technology (IT) is an umbrella term that encompasses disciplines dealing with the computer and its functions. These disciplines originated from interests in using the...
Data Mining in the Social Sciences and Iterative Attribute Elimination
Anthony Scime, Gregg R. Murray, Wan Huang, Carol Brownstein-Evans. © 2008. 25 pages.
Immense public resources are expended to collect large stores of social data, but often these data are under-examined thereby missing potential opportunities to shed light on...
Computing Curricula: A Comparison of Models
Anthony Scime, Christine Wania. © 2008. 14 pages.
An analysis of eight computing model curricula verifies that there are significant differences between computing disciplines. While there are many courses in the models with the...
Web Mining: Applications and Techniques
Anthony Scime. © 2005. 442 pages.
Web Mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web Mining uses document content...
Computing Curricula: A Comparison of Models
Anthony Scime, Christine Wania. © 2005. 18 pages.
An analysis of eight computing model curricula verifies that there are significant differences between computing disciplines. While there are many courses in the models with the...
Web Page Extension of Data Warehouses
Anthony Scime. © 2005. 5 pages.
Data warehouses are constructed to provide valuable and current information for decision-making. Typically this information is derived from the organization’s functional...
Computing Curriculum Analysis and Development
Anthony Scime. © 2005. 6 pages.
Information technology (IT) is an umbrella term that encompasses disciplines dealing with the computer and its functions. These disciplines originated from interests in using the...
Expert Database Web Portal Architecture
Anthony Scime. © 2003. 14 pages.
The volume of data available on the World Wide Web makes it difficult for a domain novice to find reliable, accurate information. Such a novice may call upon a domain expert for...
Web Mining to Create a Domain Specific Web Portal Database
Anthony Scime. © 2003. 18 pages.
The dynamic nature of the World Wide Web is causing an evolution of both information access and format. The use of a Web portal to access information about a domain relieves the...
Information Technology Model Curricula Analysis
Anthony Scime. © 2002. 18 pages.
Most information technology (IT) bachelor degree recipients get jobs after graduation, rather than attend graduate school (Freeman & Aspray, 1999). They enter the workforce...
Information Systems and Computer Science Model Curricula: A Comparative Look
Anthony Scime. © 2002. 13 pages.
Computer science and information systems are interrelated disciplines that both cover the technical and functional aspects of computing. They are fields of study in high demand...