Publications
This page gives a list of research publications for the Psychmine group. The <preprint> links contain "working paper" versions of the publications. Due to copyright concerns, for the majority of papers, the <reprint> links only give access to the publishers' webpages. If you would like a copy of a reprint then please email Stephen France.
2020
France, S.L., Shi, Y., Kazandjian, B. (2020). Web Trends: A Valuable Tool for Business Research. Journal of Business Research. In Press. (PN032)
France, S.L., Shi, Y., Varghafi, M., Zhao, H. (2020). Online Video Channel Management: An Integrative Decision Support System Framework. International Journal of Information Management. In Press (PN030)
France, S.L., Akkucuk, U. (2020). A Review, Framework, and R toolkit for Exploring, Evaluating, and Comparing Visualization Methods. The Visual Computer. In Press. (PN028)
2019
France, S. L., Ghose, S. (2019). Marketing Analytics: Methods, Practice, Implementation, and Links to Other Fields. Expert Systems and Applications, 119, 456-475 (PN027)
Kazandjian, B.; France, S. L., Shi, Y., Vaghefi, M., Wen, J. (2019). Marketing Visualization and Segmentation in the Era of Big Data Analytics. In Fowler, J. G., Weiser, J. (Eds.), Proceedings of the Society for Marketing Advances Annual Conference: Changing the ‘Rhythm’ of Marketing: Are We Listening? (pp. 423-424) (PN031)
<preprint> <reprint> <abstract>
2018
France, S. L., Vaghefi, M. S., & Batchelder, W. H. (2018). FlexCCT: Software for Ratings Analysis and Wisdom of the Crowd Applications. IEEE Transactions on Computational Social Systems, 5(2). 358-370. (PN24)
Shi, Y., Lim, Jeremy M., Weitz, Barton A., & France, S. L. (2018). The impact of retail format diversification on retailers’ financial performance. Journal of the Academy of Marketing Science, 46(1), 147-167. (PN023)
2017
France, S. L., Chen, W., & Deng, Y. (2017). ADCLUS and INDCLUS: analysis, experimentation, and meta-heuristic algorithm extensions. Advances in Data Analysis and Classification, 11(2), 371-393. (PN07)
2016
France, S.L., Ghose, S. (2016). An Analysis and Visualization Methodology for Identifying and Testing Market Structure, Marketing Science, Marketing Science, 35(1), 182-197. (PN015)
<preprint + web appendix> <reprint>
France, S. L., Vaghefi, M. S., & Zhao, H. (2016). Characterizing viral videos: Methodology and applications. Electronic Commerce Research and Applications, 19, 19-32. (PN022)
2015
France, S.L., Batchelder, W. H. (2015). A Maximum Likelihood Item Easiness Model for Test Theory Without An Answer Key,Educational and Psychological Measurement, 75(1), 57-77. (PN017)
2014
France, S.L., Batchelder, W. H. (2014). Unsupervised Consensus Analysis for On-line Review and Questionnaire Data, Information Sciences, 281, 241-257. (PN016)
France, S. L. (2014). Teaching Dimensionality Reduction and Cluster Analysis to Marketing Students, Proceedings of the Marketing Edge Research Summit, San Diego. (PN09)
France, S. L. (2014). Consensus Rating: Re-Conceptualizing Additive Bias, KDD 2014, ASSESS Workshop. (PN21)
2013
Akkucuk, U., Carroll, J.D., France, S.L. (2013). Analyzing the Supreme Court Justice Decisions using Multidimensional Scaling (MDS) and Parametric Mapping (PARAMAP). In, B. Lausen, D. Van den Poel, & A. Ultsch (Eds.), Algorithms from and for Nature and Life (pp. 147-154), Springer: Heidelberg. (PN001)
France, S.L. (2013). Properties of a General Measure of Configuration Agreement. In B. Lausen, D. Van den Poel, and A. Ultsch (Eds.), Algorithms from and for Nature and Life (pp. 155-163, Springer: Heidelberg. (PN013)
France, S.L., Varghafi, M, Batchelder, W. (2013). FlexCCT: Software for Continuous CCT. In D’Mello, S. K., Calvo, R. A., and Olney, A. (Eds.), Proceedings of the Educational, in Proceedings of the 6th International Conference on Educational Data Mining. (PN018).
2011
Abbasi, A., France, S. L., Zhang, Z. & Chen, H. (2011). Selecting attributes for sentiment classification using feature relation networks. IEEE Transactions on Knowledge and Data Engineering, 23(3), 447-462. (PN011)
France, S.L., Carroll J.D. (2011). Two-Way Multidimensional Scaling: A Review. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 41(5), 644-661. (PN012)
France, S.L., Carroll, J.D., Xiong, H. (2011). Distance Metrics for Clustering and Classification: Compression and Normalization. Information Sciences, 154(1), 92-110. (PN010)
France, S.L., & Abassi, A. (2011). Large Scale Overlapping Clustering Utilizing Neural Networks Proceedings of IEEE ICDM 2011: Workshop on Optimization-based Methods for Emerging Data Mining Problems. (PN014)
2009
Carroll, J.D., Arabie, P., France, S.L., Chaturvedi, A. (2009). Multidimensional Scaling and its Extensions. In Arie Cohen (Ed.), Design, Analysis and Application in Multivariate Approaches (pp. 327-358), Facet Theory Association Press, Tel Aviv (PN005)
<preprint> <reprint> <examples paper>
France, S.L., & Carroll, J.D. (2009). Is the Distance Compression Effect Overstated? Some Theory and Experimentation. In P. Perner (Ed.), Machine Learning and Data Mining in Pattern Recognition, LNAI, Vol. 5632, Proceedings Conference MLDM 2009, Leipzig/Germany (pp. 280-294), Springer: Heidelberg (acceptance rate 63/205=31%) (PN006)
France, S.L., & Carroll, J.D. (2009). Visualizing the Competitive Structure of Online Auctions. In P. Perner (Ed.), Advances in Data Mining, Medical Applications, E-Commerce, Marketing and Theoretical Aspects, LNAI, Vol. 5633, Proceedings Conference ICDM 2009 (pp. 103-116), Leipzig/Germany, Springer: Heidelberg (acceptance rate 32/130=25%) (PN003)
France, S.L., & Carroll, J.D. (2009). DEMScale: An MDS Technique Incorporating Ridge-Regression to Implement MDS for Large Dissimilarity Matrices. In N. Adams et al. (Eds.), Advances in Intelligent Data Analysis VIII, LNCS, Vol. 5772, Proceedings of the 8th International Symposium on. Intelligent Data Analysis, Lyon/France (pp. 47-58), Springer: Heidelberg (acceptance rate long paper 18/80=22%). (PN008)
2008
France, S.L., (2008). Developing metric MDS techniques for the visualization and interpretation of customer data, PhD Dissertation, Rutgers University. (BN001).
2007
France, S.L., & Carroll, J.D. (2007). Development of an Agreement Metric based upon the RAND Index for the Evaluation of Dimensionality Reduction Techniques, with Applications to Mapping Customer Data. In P. Perner (Ed.), Machine Learning and Data Mining in Pattern Recognition, LNAI, Vol. 4571, Proceedings Conference MLDM 2007, Leipzig/Germany (pp. 499-517), Springer: Heidelberg (acceptance rate 66/258=26%). (PN002)