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Publications

2020

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Wu, N., Tudoreanu, M., Siruvolu, S., Wang, R., Talburt, J. (2020, April). Analysis of Contractor Data in Federal Acquisition Databases. Monterrey, CA: 17th Annual Acquisition Research Symposium.

Wang, R.Y., and Talburt, J.R., Yang, Y. (2020). A Framework of Analysis for Data Washing Machines. Technical Paper.

2019

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2018

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2017

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Yang, M., Milanova, M. G., Tudoreanu, M. E., Talburt, J. R., Wu, N., Williams, P. H., He, Q., Compadre, C. M., Wang, R., Reiners, D. P., Cruz Neira, C. (2017). American Council on Science and Education: Innovative Research-Education Integration Award. NSF National Science Foundation National Research Training Proposal. American Council on Science and Education.

Yang, M., Zhao, W., Arabnia, H., Wang, R., Tudoreanu, M. E., Compadre, C. M., Milanova, M. G., He, Q., Talburt, J. R., Williams, P. H., Wu, N., Reiners, D. P., Cruz Neira, C., Innovative Research-Education Award, “Special Task Force Keynote: Developing Novel Computational Intelligence Approaches for Innovative Systematic Pedagogy in Integrated Research and Education : INSPIRE (NSF-National Research Training Proposal Special Task Force Keynote Presentation,” American Council on Science and Education. (December 2017).

Yang, M., Yu, S., Cruz Neira, C., Yang, W., Tudoreanu, M. E., Li, D., Zhang, Y., He, Q., Guan, R., Wang, R., & Zhao, W. (2017, December). Secure privacy preserving across personal health data and single cell genomics research INSPIRE academic pedagogy – merging big data multiplatform with deep learning. Las Vegas, NV: IEEE

Yang, M., Milanova, M. G., Wang, R., Talburt, J. R., Wu, N., Tudoreanu, M. E., Williams, P. H., Compadre, C. M., He, Q., Reiners, D. P., Cruz Neira, C., Based on NSF-National Research Training Proposal, “Innovative Research-Education Integration Award,” American Council on Science and Education. (July 2017).

2016

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2015

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2014

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2012

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2011

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Madnick, S.E. and Lee, Y.W. (2011). Editorial Notes: Classification and Assessment of Large Amounts of Data: Examples in the Healthcare Industry and Collaborative Digital Libraries.ACM Journal of Data and Information Quality, 2(3), 1-2.

Madnick, S.E. and Lee, Y.W.(2011). Editorial: In Search of Novel Ideas and Solutions with a Broader Context of Data Quality in MindACM Journal of Data and Information Quality, 2(2), 1-3.

Pipino, L. and Lee, Y.W. (2011, August 5–7). Medical Errors and Information Quality: A Review and Research Agenda. Paper presented at the Americas Conference on Information Systems, Detroit, MI.

Talburt, J. (2011, December 8-11).Using Information Quality for Competitive AdvantagePaper presented at the International Symposium on Information Systems and Management, Xi’an, China.

Li, X., Madnick, S.E., and Zhu, H. (2011, November).Improving the Data Quality of Web Services Composition. Working Paper Composite Information Systems Laboratory(CISL) #2011-07, Sloan School of Management, MIT, Cambridge, MA.

Zhu, H. and Wu, H. (2011). Interoperability of XBRL Financial Statements in the U.S. International Journal of E-Business Research, 7(2), 18-33.

Zhu, H. and Wu, H. (2011). Quality of Data Standards: Framework and Illustration using XBRL Taxonomy and Instances. Electronic Markets, 21(2), 129-139.

Zhu, H., Ma, Y., and Su, G. (2011, December 3).Collaboratively Assessing Information Quality on the Web. Working Paper presented at the First ICIS sigIQ Workshop, Shanghai, China.

Zhu, H., and Wu, H. (2011, December 3). Interoperability of Data Created using Extensible Data Standards. Working Paper presented at the First ICIS sigIQ Workshop, Shanghai, China

Ma, Y., Zhu, H., Su, G. and Akhriza, T.M. (2011, December 3). Hyperbolic Tree for Effective Visualization of Large Extensible Data StandardsPaper presented at the First ICIS sigIQ Workshop, Shanghai, China.

2010

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2009

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2008

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2007

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2006

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Lee, Y.W., Pipino, L.L., Funk, J.D., Wang, R.Y. (2006). Journey to Data Quality. Cambridge, MA: MIT Press.

Madnick, S.E. and Zhu, H. (2006). Improving Data Quality with Effective Use of Data Semantics. Data and Knowledge Engineering 59(2), 460-475.

Ballou, D.P., Chengalur-Smith, I.N. and Wang, R.Y. (2006). Sample-Based Quality Estimation of Query Results in Relational Database Environments. IEEE Transactions on Knowledge and Data Engineering, 18(5), 639-650.

Fisher, C., Lauria, E., Chengular-Smith, S., Wang, R.Y. (2006). Introduction to Information Quality. United Kingdom: AuthorHouse.

2005

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Wang, R., Pierce, E., Madnick, S.E and Fisher, C. (Eds.). (2005). Information Quality (Advances in Management Information Systems). Armonk, NY: M.E. Sharpe.
2004

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2003

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2002

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2001

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2000

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1999

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Huang, K.T., Lee, Y.W., Wang, R.Y. (1999). Quality Information and Knowledge. Upper Saddle River, New Jersey: Prentice Hall.
1998

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1997

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1996

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1995

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Wang, R., Reddy, M., and Kon, H. (1995, March). Toward quality data: An attribute-based approachJournal of Decision Support Systems, 13(3-4), 349-372.
1993

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Wang, R., Reddy, M. and Gupta, A. (1993, December).An Object-oriented Implementation of Quality Data Products. Paper presented at the Workshop on Information Technologies and Systems, Orland, FL.
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Tu, S. and Wang, R. (1993, December).Modeling Data Quality and Context through Extensions of the ER ModelPaper presented at the Workshop on Information Technologies and Systems, Orland, FL.
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Wang, R., Kon, H. and Madnick, S. (1993, April 19, 23). Data Quality Requirements Analysis and Modeling. Proceedings of the Ninth International Conference of Data Engineering, Vienna, Austria.

1990

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Wang, R. and Madnick S. (1990, August). A Polygen Model for Heterogeneous Database Systems: The Source Tagging PerspectivePaper Presented at the Sixteenth International Conference on Very large Databases, Brisbane, Australia.