Applying Triadic FCA in Studying Web Usage Behaviors

Formal Concept Analysis (FCA) is well known for its features addressing Knowledge Processing and Knowledge Representation as well as offering a reasoning support for understanding the structure of large collections of information and knowledge. This paper aims to introduce a triadic approach to the study of web usage behavior. User dynamics is captured in logs, containing a large variety of data. These logs are then studied using Triadic FCA, the knowledge content being expressed as a collection of triconcepts. Temporal aspects of web usage behavior are considered as conditions in tricontexts, being then expressed as modi in triconcepts. The gained knowledge is then visualized using CIRCOS, a software package for visualizing data and information in a circular layout. This circular layout emphasizes patterns of user dynamics.

[1]  Hendrik Blockeel,et al.  Web mining research: a survey , 2000, SKDD.

[2]  Sanda Dragos.  PULSE Extended , 2009, 2009 Fourth International Conference on Internet and Web Applications and Services.

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

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

[5]  Sanda-Maria Dragos.  Why Google Analytics cannot be used for educational web content , 2011, 2011 7th International Conference on Next Generation Web Services Practices.

[6]  Gottfried Vossen,et al.  The World Wide Web and Databases , 2001, Lecture Notes in Computer Science.

[7]  Sebastián Ventura,et al.  Web usage mining for predicting final marks of students that use Moodle courses , 2013, Comput. Appl. Eng. Educ..

[8]  L. Beran,et al.  [Formal concept analysis]. , 1996, Casopis lekaru ceskych.

[9]  John F. Sowa,et al.  Conceptual Structures: Applications, Implementation and Theory , 1995, Lecture Notes in Computer Science.

[10]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[11]  Rudolf Wille,et al.  Conceptual Landscapes of Knowledge: A Pragmatic Paradigm for Knowledge Processing , 1999 .

[12]  Sebastián Ventura,et al.  Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems , 2009, Comput. Educ..

[13]  Myra Spiliopoulou,et al.  WUM: A tool for Web Utilization analysis , 1999 .

[14]  MAGDALINI EIRINAKI,et al.  Web mining for web personalization , 2003, TOIT.

[15]  Rudolf Wille,et al.  Methods of Conceptual Knowledge Processing , 2006, ICFCA.

[16]  Rudolf Wille,et al.  A Triadic Approach to Formal Concept Analysis , 1995, ICCS.