Publications

Chan, Y., Talburt, J., & Talley, T. (Eds.) (2010). Data engineering: Mining, information and intelligence. Norwell, MA: Springer.

Gibson, N. & Talburt, J. (2010). Hive: Crowdsourcing education data. Journal of Computing Sciences in Colleges (accepted for publication).

Pushkarev, V., Neumann, H., Varol, C., & Talburt, J. (2010) An overview of open source data quality tools. Information and Knowledge Engineering Conference (IKE 2010), Las Vegas, NV, July 12-15 (accepted for publication).

Heien, C., Wu, N., & Talburt, J. (2010) Leveraging poor quality data to determine the importance of data attributes to consumers of information products. 16th Americas Conference on Information Systems (AMCIS 2010). Lima, Peru, August 12-15, 2010 (accepted for publication).

Holland, G. & Talburt, J. (2010) q-Gram Tetrahedral Ratio (aTR) for approximate pattern matching. 2010 Conference on Applied Research in Information Technology, University of Central Arkansas, Conway, AR (accepted for publication).

Gibson, N. & Talburt, J. (2010) Visualizing student growth: Applications of student growth models. 2010 Conference on Applied Research in Information Technology, University of Central Arkansas, Conway, AR: (accepted for publication).

Mendi, E., Milanova, M., Zhou, Y., & Talburt, J. (2010) Objective video quality assessment for tracking moving objects from video sequences. 9th WSEAS International Conference on Signal Processing, Robotics, and Automation (ISPRA’10), University of Cambridge, UK (pp. 121-126).

Bahrami, A., Hashemi, R., Talburt, J., & Burachevsky, Z. (2009) A neural network for discovery of record layouts.  2009 International Conference on WWW/Internet, sponsored by the International Association for Development of Information Society (IADIS), Rome, Italy, Nov. 2009 (pp. 319-323).

Talburt, J., Zhou, Y., & Shivaiah, S. (2009) SOG: A synthetic occupancy generator to support entity resolution instruction and research. 2009 International Conference on Information Quality, Potsdam, Germany, Nov. 2009 (pp. 91-105).

Talburt, J. & Nelson, E. (2009) CoDoSA: A light-weight, XML framework for integrating unstructured textual information. 15th Americas Conference on Information Systems, San Francisco, CA, AIS Electronic Library (aisel.asnet.org) Paper 489.

Holland, G. & Talburt, J. (2009). An entity-based integration framework for modeling and evaluating data enhancement products. Journal of Computing Sciences in Colleges, 24(5), 65-73.

Talburt, J. & Chiang, C (2009) Attributed identity resolution for fraud detection and prevention. 2009 Conference. 2009 International Conference on Computing in Engineering, Science and Information, California State University, Fullteron, CA (accepted for publication).

Talburt, J. & Hashemi, R. (2008) A formal framework for defining entity-based, data source integration. H. Arabnia & R. Hashemi (Eds), 2008 International Conference on Information and Knowledge Engineering, Las Vegas, NV: CSREA Press (pp. 394-398).

Talburt, J., Chiang, C., Howe, M., Wu. N., et.al. (2008) A semiotic approach to file layout inference. C. Hu & D. Berleant (Eds), 2008 Conference on Applied Research in Information Technology, University of Central Arkansas, Conway, AR: http://research.acxiom.com/publications.html (pp. 127-133).

Chiang, C., Talburt, J., Wu, N., Pierce, E., et.al. (2008) A case study in partial parsing unstructured text. Fifth International Conference on Information Technology: New Generations, Las Vegas, NV: IEEE Press (pp. 447-452).

Holland, G. & Talburt, J. (2008) A framework for evaluating information source interactions. C. Hu & D. Berleant (Eds), 2008 Conference on Applied Research in Information Technology, University of Central Arkansas, Conway, AR: http://research.acxiom.com/publications.html (pp. 13-19).

Nelson, E. & Talburt, J. (2008) Improving the quality of law enforcement information through entity resolution. C. Hu & D. Berleant (Eds), 2008 Conference on Applied Research in Information Technology, University of Central Arkansas, Conway, AR: http://research.acxiom.com/publications.html (pp. 113-118).

Deneke, W., Eno, J., Li, W., Thompson, C., Talburt, J., et.al. (2008) Towards a domain-specific modeling language (DSML) for customer data integration (CDI). C. Hu & D. Berleant (Eds), 2008 Conference on Applied Research in Information Technology, University of Central Arkansas, Conway, AR: http://research.acxiom.com/publications.html (pp 1-12).

Talburt, J., Wu, N., Pierce, E., Chiang, C., Heien, C., Gulley, E. & Moore, J. (2007). Entity Identification in Documents Expressing Shared Relationships. N. Mastorakis, S. Kartalopoulos, D. Simian, A. Varonides, V. Mladenov, Z. Bojkovic, E. Antonidakis (Eds.), 11th World Scientific and Engineering Academy and Society International Conference on SYSTEMS(Vol. 2, pp. 223-228). Agios Nikolaos, Crete: WSEAS Press.

Talburt, J., Wu, N., Pierce, E., & Hashemi, R. (2007). Entity identification using indexed entity catalogs. In H.R. Arabnia & R.R. Hashemi (Eds.), The 2007 International Conference on Information and Knowledge Engineering (pp. 338-342).Las Vegas, NV: CSREA Press.

Lee, Y., Pierce, E., Talburt, J., Wang, R., & Zhu, H. (2007). A curriculum for a master of science in information quality. The Journal of Information Systems Education, 18(2), 233-242.

Wu, N., Pierce, E., Talburt, J., & Wang, R. (2006). An information theoretic approach to information quality metrics. In J. Talburt, E. Pierce, N. Wu, & T. Campbell (Eds.), 9th International Conference on Information Quality (pp. 133-145). Cambridge, MA: MIT IQ Publishing.

Hashemi, R., Talburt, J., & Wang, R. (2006). Significance test for the Talburt-Wang Similarity Index. In J. Talburt, E. Pierce, N. Wu, & T. Campbell (Eds.), 9th International Conference on Information Quality (pp. 125-132). Cambridge, MA: MIT IQ Publishing.

Talburt, J. & Campbell, T. (2006). Designing a balanced data quality scorecard. 2006 Information Resources Management Association International Conference (pp. 506-508). Washington, DC.

Talburt, J., Morgan, C., Talley, T. & Archer, K. (2005). Using commercial data integration technologies to improve the quality of anonymous entity resolution in the public sector. In F. Naumann, M. Gertz, & S. Madnick (Eds.), 9th International Conference on Information Quality (pp. 133-142), Cambridge, MA: MIT IQ Publishing.

Talburt, J., Kuo, E., Wang, R. & Hess, K. (2004). An algebraic approach to data quality metrics for customer recognition. In S. Chengular-Smith, L Raschid, J. Long, & C. Seko (Eds.), 9th International Conference on Information Quality (pp. 234-247). Cambridge, MA: MIT IQ Publishing.

Hess, K. & Talburt, J. (2004). In S. Chengular-Smith, L Raschid, J. Long, & C. Seko (Eds.), Applying name knowledge to name quality assessment. 9th International Conference on Information Quality (pp. 211-217).Cambridge, MA: MIT IQ Publishing.

Ford, C. W., Chiang, C., Wu, H., Chilka, R., & Talburt, J. (2004). Confidence on approximate query in large datasets. International Conference on Information Technology: Coding and Computing (pp.480-484).