Collaborative Support Faculty

Anthony F. Breitzman Sr.

Assistant Professor, Computer Science/Data Analytics Program
Breitzman@rowan.edu
Website

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.

Memberships

Institute of Electrical and Electronics Engineers (IEEE)

Recent Publications

  1. Breitzman, A. (2016). Major milestones in the twin prime conjecture. Mathematical Scientist, 41(1), 3-15. ISSN: 03123685 www.scopus.com
  2. Johnson, C.,Rusu,A., Breitzman,A.,Bucknam, J., Laposta, N. (2016) Phase of Flight and Rule of Flight Calculator. Conference Paper: International Conference on Research in Air Transportation (ICRAT), June 20, 2016. Drexel University, Philadelphia, PA. http://www.icrat.org/icrat/index.cfm?page=icrat_2016
  3. Breitzman, A. & Thomas, P. (2016). The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems, Research Policy, Volume 44, Issue 1, February 2015, Pages 195-205, ISSN 0048-7333, http://dx.doi.org/10.1016/j.respol.2014.06.006.
     (http://www.sciencedirect.com/science/article/pii/S0048733314001103)
  4. Breitzman, A. & Thomas, P. (2015). Inventor team size as a predictor of the future citation impact of patents. Scientometrics 103: 631. doi:10.1007/s11192-015-1550-5

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