论文信息 - CrowDM: the System for Collaborative Platform Data Analysis

CrowDM: the System for Collaborative Platform Data Analysis

The paper considers a data analysis system of the Witology company collaborative platform and mainly describes a methodology and results of the rst experiments. The developed system is based on several models and methods of modern analysis of object-attribute and unstructured data (texts) such as Formal Concept Analysis, multimodal clustering, association rules mining and keywords and collocations extraction from texts.

[1] Yavorskiy Rostislav. Research Challenges of Dynamic Socio-Semantic Networks , 2011 .

[2] Bernhard Ganter,et al. Formal Concept Analysis: Mathematical Foundations , 1998 .

[3] Eckart Zitzler,et al. BicAT: a biclustering analysis toolbox , 2006, Bioinform..

[4] Peter A. Grigoriev,et al. Elements of an Agile Discovery Environment , 2003, Discovery Science.

[5] Jonas Poelmans,et al. Recommender System Based on Algorithm of Bicluster Analysis RecBi , 2012, ArXiv.

[6] Leonid Zhukov,et al. From Triconcepts to Triclusters , 2011, RSFDGrC.

[7] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..

[8] Camille Roth,et al. Social and semantic coevolution in knowledge networks , 2010, Soc. Networks.

[9] Camille Roth,et al. Generalized Preferential Attachment : Towards Realistic Socio-Semantic Network Models , 2005 .

[10] Sergei O. Kuznetsov,et al. Concept-based Recommendations for Internet Advertisement , 2009, ArXiv.

[11] Camille Roth,et al. Socio-semantic Dynamics in a Blog Network , 2009, 2009 International Conference on Computational Science and Engineering.

[12] Andreas Hotho,et al. TRIAS--An Algorithm for Mining Iceberg Tri-Lattices , 2006, Sixth International Conference on Data Mining (ICDM'06).

[13] Jonas Poelmans,et al. A New Cross-Validation Technique to Evaluate Quality of Recommender Systems , 2012, PerMIn.