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Regular version of the site

Book chapter

FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms

P. 173-192.
Ignatov D. I., Kaminskaya A. Y., Konstantinov A. V., Bezzubtseva A. A., Poelmans J.

This paper considers a data analysis system for collaborative platforms which was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. Our focus is on describing the methodology and results of the first experiments. The developed system is based on several modern models and methods for analysing of object-attribute and unstructured data (texts) such as Formal Concept Analysis, multimodal clustering, association rule mining, and keyword and collocation extraction from texts.

In book

FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms
Edited by: H. Pfeiffer, D. I. Ignatov, J. Poelmans et al. Vol. 7735: Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures. Berlin; Heidelberg: Springer, 2013.