PUBLICATIONS
Information Quality of Learning Models
Askira Gelman, I., Input Accuracy in Classification Tasks: Which Errors are more
Painful?(Extended Abstract), The Proceedings of the SigIQ Workshop 2012,
Quality Information in Organizations and Society, Orlando, Florida, December 16.
Askira Gelman, I., Knowledge Discovery: Comprehensibility of the Results, Hawaii
International Conference on Systems Sciences (HICSS-31), 1998.
Information Quality of Conjunctive and Disjunctive Decisions
Askira Gelman I., Biases in Multi-Criteria, Satisficing Decisions Due to Data Errors,
ACM Journal of Data and Information Quality (ACM JDIQ). Vol 2. No. 4, 2012.
Askira Gelman, I., A Model of Error Propagation in Conjunctive Decisions and its
Application to Database Quality Management. Journal of Database Management
(JDM), Vol. 23, No. 1, 2012.
Askira Gelman, I., An Empirical Study of the GIGO Axiom in Decision Making
Scenarios. 18th Americas Conference on Information Systems (AMCIS), 2012.
Askira Gelman, I., GIGO or not GIGO: The Accuracy of Multi-Criteria Satisficing
Decisions. ACM Journal of Data and Information Quality (ACM JDIQ). Vol 2. No. 2
2011.
Askira Gelman, I., Setting Priorities for Data Accuracy Improvements in Satisficing
Decision-making Scenarios: A Guiding Theory. Decision Support Systems (DSS), Vol.
48, No. 4, 2010, pp. 507-520.
Askira Gelman I., A General Ranking Strategy for Data Accuracy Management, 15th
International Conference on Information Quality (ICIQ-10), Little Rock AR, 2010.
Askira Gelman, I., The Asymmetric Nature of Decision Errors in Multi-Criteria,
Satisficing Decisions. 15th Americas Conference on Information Systems (AMCIS),
2009.
.Askira Gelman, I., Simulations of Error Propagation for Prioritizing Data Accuracy
Improvements in Multi-Criteria Satisficing Decision Making Scenarios. 30th
International Conference on Information Systems (ICIS-09). Phoenix, Arizona, 2009.
Askira Gelman, I., Theories of Error Propagation in Satisficing Decisions and their
Application to Data Quality Management. 3rd Israel Association for Information
Systems Conference (ILAIS 2008), 2008.
Askira Gelman, I., A Model of Error Propagation in Satisficing Decisions and
its Application to Database Quality Management. 14th Americas Conference on
Information Systems (AMCIS), 2008.
Askira Gelman, I., GIGO or not GIGO: Error Propagation in Basic Information
Processing Operations. 13th Americas Conference on Information Systems (AMCIS),
2007.
Askira Gelman, I., Simulations of Error Propagation for Prioritizing Data Accuracy
Improvement Efforts. 12th International Conference on Information Quality (ICIQ-07),
MIT, Cambridge MA, 2007.
Information Quality on the Web
Askira Gelman, I. and Askira, A., Show Us Your Pay Stub: Income Verification in P2P Lending.
18th International Conference on Information Quality (ICIQ-13), Little Rock AR, 2013.
Askira Gelman I., Wu, N., Combining Structured and Unstructured Information
Sources for a Study of Data Quality: A Case Study of Zillow.Com, Hawaii International
Conference on Systems Sciences (HICSS-44), 2011.
Wu, N., Askira Gelman I., and Osesina, O. I., How Consistent is Web Information—A
Case Study on Online Real Estate Database. 15th Americas Conference on Information
Systems (AMCIS), 2009.
Askira Gelman, I., and Barletta, A.L., Initial Study of a ‘Quick and Dirty’ Website Data
Quality Index. 13th International Conference on Information Quality (ICIQ-08), MIT,
Cambridge MA, 2008.
Askira Gelman, I., and Barletta, A.L., A ‘Quick and Dirty’ Website Data Quality
Indicator.Second Workshop on Information Credibility on the Web (WICOW 2008)
in Proceedings of ACM 17th Conference on Information and Knowledge Management
(CIKM 2008), 2008.
A Complementarity Theory for Improving Information Quality
Askira Gelman, I., Towards a Complementarity Theory for Extracting Accurate Data
from Inaccurate Databases through Integration. 1st International Conference on Design
Science Research in Information Systems and Technology, (DESRIST 2006), Claremont
CA, 2006.
Askira Gelman, I., A Theory of Complementarity for Extracting Accurate Data from
Inaccurate Sources through Integration. 10th International Conference on Information
Quality (ICIQ-05), MIT, Cambridge MA, 2005.
Effects of Dependencies in Data on Information Quality
Askira Gelman, I., Does Higher Data Accuracy Produce Higher Information Value?
Journal of AIS (JAIS) Sponsored Theory Development Workshop, Washington D.C.,
USA, December 2004.
Askira Gelman, I., D. Pingry, and D. Zeng, Does Higher Data Accuracy Produce
Higher Prediction Accuracy? International Workshop on Data and Information Quality
in conjunction with CAISE’04, Riga, Latvia, 2004.
Askira Gelman, I., Simulations of the Relationship between an Information System’s
Input Accuracy and its Output Accuracy. 9th International Conference on Information
Quality (ICIQ-04), MIT, Cambridge MA, 2004.
Causal Models and Causal Reasoning
Askira Gelman, I., Addressing Time-Scale Differences among Decision-Makers through
Model Abstractions. European Journal of Operational Research, (EJOR) Vol. 160, No.
2, pp. 325-335, 2005.
Askira Gelman, I., Model Abstractions that Address Time-Scale Differences Among
Decision-Makers, DSS Internet Age 2002 Conference, Cork, Ireland, 2002.
Askira Gelman, I., Research Summary: Abstraction Techniques, and their Value, 5th
International Symposium on Abstraction, Reformulation and Approximation (SARA-
2002) immediately after the 18th National Conference on Artificial Intelligence (AAAI-
2002), Kananaskis, Alberta, Canada, 2002.