Biography

Dr. Anthony Breitzman received his M.A. in Mathematics from Temple University, and both his M.S and Ph.D. from Drexel University. His research interests are Data Mining, Text Mining, Sentiment Analysis, Neural Networks, Algorithm Design, Convolution Algorithms, and Number Theory.

He has taught the following courses at Rowan: Data Mining I, Data Mining Lab, Web and Text Mining, Foundations of Computer Science, Discrete Math, Calculus I, II and III, Ordinary Differential Equations, Math and Engineering Analysis, Linear Algebra, and Modern Algebra.

Education:
BS (Mathematics), Stockton University
MA (Mathematics), Temple University
MS (Computer Science), Drexel University
PhD (Computer Science), Drexel University

Research Expertise:
Data Mining | Web and Text Mining | Computation Linguistics | Sentiment Analysis | Intellectual Property | Science Policy

My research interests are broadly in the area of Data Mining, which is an inter-disciplinary field that combines Statistics and Computer Science in an effort to identify patterns in large quantities of data. A subfield of interest is in Text Mining, which is essentially data mining with text. I am currently collaborating with the School of Medicine to develop a text mining tool related to literature based discovery of treatments for rare diseases that are not well studied. I am also interested in the study of innovation and emerging technologies through the mining of large patent databases.

Member of:
Institute of Electrical and Electronic Engineers
Upsilon Pi Epsilon - The Honor Society of Computer Science

Recent Publications:

• Breitzman A, Thomas P (2017) A technology forecasting framework enhanced via twitter mining. Proceedings of the IEEE Future Technology Conference, Vancouver, CA, November 29-30, 2017. In press.
• Breitzman A (2017) A new look at Polya’s Prime Gap Heuristics. The Mathematical Scientist. 42:38-42.
• Anderson G, Breitzman A (2017) Identifying NIST impacts on patenting: A novel data set and potential uses. J Res Natl Inst Stand Technol. 122:1-16.
• Breitzman A (2016) Major milestones in the twin prime conjecture. Mathematical Scientist. 41:3-15.
• Breitzman A, Thomas P (2016) The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems. Research Policy. 44:195-205.
• Breitzman A, Thomas P (2015) Inventor team size as a predictor of the future citation impact of patents. Scientometrics 103:631.