Jan William Buzydlowski

Education

 

 

I am an Assistant Professor of Computer Management Information Systems in the School of Business Administration at Holy Family University with interests in data analysis, data storage, and the chasm between them.
 

Description: Description: Description: Description: C:\Users\Jan\Desktop\ToTransfer2\Cabrini web\Image8.gif

 

Publications

Experience

Data mining with MOTC

Text mining with AuthorMap


 
 
 
 
 
 
 
 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


 

Education
 
 

B.A.

Mathematics

Holy Family University

1979

M.A.

Computer Science

Arcadia University

1985

M.S.

Statistics

Temple University

1992

Ph.D.

Information Systems

Drexel University

2003

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Ph.D. Course work
 
 

Database Management I

Knowledge-Based Systems

Database Management II

Database Management III

Artificial Intelligence

Information Systems Analysis

Machine Learning

Pattern Recognition

Software Systems Verification and Validation

Computer-Supported Cooperative Work

User Interfaces for Information Systems

Software Engineering

Data Mining

Object-Oriented Databases

Java

Data Warehousing

Advanced Java

Distributed Computing and Networking

Research Methods

Temporal Data in Data

Warehouses

Dissertation:

 

Comparison of Self-Organizing Maps and Pathfinder Networks for the Mapping of Co-Cited Authors

 

Abstract

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Experience
 
 

9/12

-

 

Assistant Professor

Holy Family University

Department of Computer Management Information Systems

9/05

-

8/12

Assistant Professor

Cabrini College

Department of Information Science & Technology

8/03

-

8/05

Researcher

Drexel University

Visualization and Information Retrieval Research Group 

College of Information Science and Technology

9/01

-

7/03

Instructor

University of Pennsylvania

Wharton Business School, Dept of Operations and Information Management

1/97

-

9/91

Teaching & Research Assistant

Drexel University

College of Information Science and Technology

8/91

-

12/96

Biostatistician & Statistical Programmer

American College of Radiology

Statistics Department

9/82

-

8/91

Associate Professor & Chair

Community College of Philadelphia

Computer Studies Department

9/79

-

9/82

Department Head

Holy Ghost Preparatory School

Mathematics Department

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Selected Publications

Lin, Xia, Zhang, Mi, Zhao, Haozhen, Buzydlowski, Jan. Visualization Interfaces based on the ACM Classification System, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, October 2012 (in review).

 

Lin, Xia, Zhang, Mi, Zhao, Haozhen, Buzydlowski, Jan, Multiple Views of the ACM Classification System, Joint Conference on Digital Libraries, June 2012.

 

Lillian N. Cassel, Siva Kumar Inguva, Jan Buzydlowski, An Ontology of All of Computing: An Update on Challenges and Approaches, Artificial Intelligence: Methodology, Systems, and Applications, 14th International Conference, AIMSA 2010, Varna, Bulgaria, September 8-10. 2010. Proceedings 2010, Pages 283-284.

 

Buzydlowski, J. Six Degrees of Scholarship, Proceedings of the American Society for Information Science and Technology, Volume 45, Issue 1, 2008, Pages: 1-4

 

Buzydlowski, J.  The Common Good, Technology, and Education: The One Laptop Per Child Initiative, Common Good Symposium, Cabrini College, 2008.

 

Buzydlowski, J., Boyd, K., Hallion, M.E., Brian Scelzo, Fostering Academic Integrity by Moving past Penalties - Trust, but Verify, SouthEastern Pennsylvania Consortium for Higher Education (SEPCHE), Faculty Development Conference--Research: Teaching, Technology & Integrity, 2007.

Buzydlowski, Jan, Exploring Co-Citation Chains, American Society for Information Science & Technology 2006 Conference

White, Howard D, Xia Lin, Jan W. Buzydlowski, Chaomei Chen. User-Controlled Mapping of Significant Literatures.  Proceedings of the National Academy of Sciences 101 (suppl. 1), April 6, 2004.  5297-5302.

Buzydlowski, J., White, H.D., Lin, X., Term Co-occurrence Analysis as an Interface for Digital Libraries, Lecture Notes in Computer Science Series, Volume 2539, 2002

Buzydlowski, Jan, Lin, Xia, White, Howard, A Comparison of Graphical Techniques for the Display of Co-Occurrence Data, Classification Society of North America Conference, Montreal, Canada, June, 2000.

Balachandran, Krishnamohan , Buzydlowski, Jan , Dworman, Garett , Kimbrough, Steven O. and Vachula, William
J. , Shafer, Tate, MOTC: An Interactive Aid for Multidimensional Hypothesis Generation, Journal of Management Information Systems, Vol. 16 No. 1, pp. 17 - 36, Summer 1999.  (Special Section on Data Mining)

Buzydlowski, Jan W., Song, Il-Yeol, A Framework for Object-Oriented On-Line Analytic Processing, Proceedings of Association for Computing Machinery 1st International Workshop on Data Warehousing and OLAP (DOLAP 98), pp 10-15, 1998.

Buzydlowski, Jan W., Hand, Jeffery, Song, Il-Yeol, Hassell, Lewis, Statistical Techniques to Facilitate the Population of a Data Warehouse, 1998 Proceedings of the Fourth International Conference on Computer Science and Informatics, Vol. 3, pp 357-360.

Hanks, Gerald E., Buzydlowski, Jan, Sause, William T., Emami, Bahman, Rubin, Philip, Parsons, J.A., Russel, Anthony H., Byhardt, Roger W. Earle, John D., Pilepich, Miljenko V., Ten Year Outcomes for Pathologic Node Positive Patients Treated in RTOG 75-06, International Journal of Radiation Oncology, Biology & Physics, 40, 4, 765-768, 1998.

Wilson, Frank, J., Winchester, David, Owen, Jean, Clive, Rosemarie, Buzydlowski, Jan, Patterns of Care of Stages I and II Breast Cancer: Results of a National Collaborative Study Conducted by the American College of Radiology (ACR) and the American College of Surgeons, American Radium Society, 1997 Conference.

Smitt, Melanie C., Buzydlowski, Jan, Hoppe, Richard T., Over 20 Years in Radiation Oncology: Hodgkin's Disease, Seminars in Radiation Oncology, 7, 2, 127-134, 1997.

Hanks, G.E., Buzydlowski, J. W., Perez, C. A., Emami, B., Rubin, P., Sause, W., Earle, J., Rotman, M., The Ten Year Outcome of Pathologic and Imaging Node Positive Patients Treated with Irradiation in RTOG 75-06, AUA Journal of Urology, 1996.

Buzydlowski, Jan W., Visualizing Repeated Measures Data in Clinical Trials using SAS/Insight. Invited paper for presentation at the 1996 Northeast SAS Users Group Conference.

Buzydlowski, Jan W., Tools for the Visualization of Patient Accrual Trends in Clinical Trials. Presented to the Society for Clinical Trials Annual Meeting, May 1996.

Lawton, C. A., Coleman, C. N., Buzydlowski, J. W., Forman, J. D., Marcial, V., A, DelRowe, J. D., & Rotman, M., Results of a Phase II Trial of External Beam Radiation With Etanidazole (SR-2508) for the Treatment of Locally Advanced Prostate Cancer (RTOG Protocol 90-20), International Journal of Radiation Oncology, Biology & Physics, 36, 3, 67-680, 1996.

Lingareddy, Vasudha, Flynn, Daniel, Webster Ann Marie, Buzydlowski, Jan W., Association of Residents in Radiation Oncology: 1995 Chief Resident and Resident Surveys. American Society for Therapeutic Radiology and Oncology (ASTRO) 1995 Conference.

Buzydlowski, Jan W., Visualizing Patient Accrual Trends in Clinical Trials. Presented to the Philadelphia Area SAS Users Group, November, 1995.

Buzydlowski, Jan W., Interfacing SAS with External Software Packages. Presented at the Philadelphia Area SAS Users Group, January 1995.

Avizonis, V.N., Buzydlowski, J., Lanciano, R., Owens, J.R., Noyes, R.D., Hanks, G.E.. Treatment of Adenocarcinoma of the Stomach with Resection, Intraoperarive Radiotherapy and Adjuvant External Beam Radiation: A Phase II Study from Radiation Therapy Oncology Group 85-04. Annals of Surgical Oncology, 2, 4, 295-302, 1995.

Pilepich, M. V., Buzydlowski, J. W,. John, M. J., Rubin, P., McGowan, D. G., Marcial, V. A. Phase II Trial of Hormonal Cytoreduction with Megestrol and Diethylstilbestrol in Conjuction with Radiotherapy for Carcinoma of the Prostate: Outcome Results of RTOG 83-07. International Journal of Radiation Oncology, Biology & Physics, 32, 1, 175-180, 1995.

Buzydlowski, Jan W., Use of SAS Insight to Graphically Display Repeated Measures Data. NorthEast SAS Users Group 1994 Conference Proceedings, 343-345.

Buzydlowski, Jan W., Calling External Software within the SAS System. Proceedings of the Twentieth Annual SAS Users Group International Conference, 892-894.

Lawton, Colleen A., Coleman, Norman, Buzydlowski, Jan W., Forman, Jeffrey D., Marcial, Victor, A., DelRowe, John D., Rotman, M. Results of a Phase II Trial of External Beam Irradiation with Etanidazole (SR-2508) for the Treatment of Locally Advanced Prostate Cancer (Results of RTOG Protocol 90-20). American Society for Therapeutic Radiology and Oncology (ASTRO) 1994 Conference.

Lanciano, R. M., Calkins, A. R., Wolkov, H. B., Buzydlowski, J., Noyes, R. D., Sause, W., Nelson, D., Willett, C., Owens, J. C., & Hanks, G. E. A phase I/II study of intraoperative radiotherapy in advanced unresectable or recurrent carcinoma of the rectum: a Radiation Therapy Oncology Group (RTOG) study. Journal of Surgical Oncology, 53, 20-29, 1993.

 

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Data Mining with MOTC:

Below is a visualization tool, MOTC, which will allow you to explore the answers of 1000 college students at Fictitious University to eight questions. There are three interesting facts that can be visually mined. Click on the leftmost bar/square and see what the boys are up to...


MOTC


Each MOTC (bar) shows the responses to each of the eight questions. The number of categories for each question is shown by the number of bins (boxes) in the MOTC. The number of responses to each category are shown by the relative percentage of the category (e.g., the last two have three and five categories, with an fairly equal number for the first and a very disproportionate distribution for the second). Positioning your mouse over the individual MOTC will show the question name and category name.

Clicking on a MOTC's bin will show the distribution of that category amongst the other questions. For example, clicking on the category of 'yes' in the drink? variable will show that all are all in the category of 50K+ in the variable Income-- the first rule to be found: IF Drink? = "yes" THEN INCOME = 50K. Notice that the converse is somewhat true.

MOTC can serve as a front-end to any data query/data store as all data can be binned. Although this example has 8 questions, it could easily scale to 100.

It is intended to help data analysts search for hypotheses. Once interesting hypotheses are found, a statistical technique, prediction analysis, can be used to verify it. There is a brief paper that describes more of MOTC presented at the Hawaii International Conference on Systems Sciences.  A more detailed description is in the paper published in the Journal of Management Information Systems.  For applications of the system, see the paper published in the Communications of the Association of Information Systems.

 As previously mentioned, there are three rules. I gave you one, so now go find the other two...

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