The overall structure of the Web data Mining Repository
DOI :
https://doi.org/10.15587/2313-8416.2015.36747Mots-clés :
Repository, Data Mining, Ontology, Multiagent system, Intelligent agent, Database, JadexRésumé
The article discusses an approach of multi-agent system building which allow users to work with statistical data. Repository is based on the idea of ontological models implementation and idea of their interaction through the set of the intelligent agents. This approach will allow a meaningful way to select a required datasets according to the given problem domain, as well as add new data sets using their meta descriptions.
Références
Asuncion, A., Newman, D. J. (2007). UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine, CA. Available at: http://www.ics.uci.edu/~mlearn/MLRepository.html
Blake, C. L., Mer, C. J. (2001). UCI repository of machine learning databases. Available at: http://www.ics.uci.edu/~mlearn/ML - Repository.html
Pearson, S., Mont, M., Bramhall, P. (2004). An Adaptive Privacy Management System For Data Repositories. Trusted Systems Laboratory, Hewlett-Packard Laboratories, Bristol, UK. Available at: http://www.hpl.hp.com/techreports/2004/HPL-2004-211.pdf
Cunningham, K., Kenneth, R., Koedinger, Skogsholm, A., Leber, B. (2008). An open repository and analysis tools for fine-grained longitudinal learner data. Human Computer Interaction Institute, Carnegie Mellon University. Available at: http://www.educationaldatamining.org/EDM2008/uploads/proc/16_Koedinger_45.pdf
Xie, T., Pei, J. (2006). JMAPO: mining API usages from open source repositories. In: Proceedings of the International Workshop on Mining Software Repositories (MSR '06), ACM Press, New York, 54–57. Available at: http://people.engr.ncsu.edu/txie/publications/msr06-mapo.pdf
Zimmermann, T. (2006). Knowledge Collaboration by Mining Software Repositories. Saarland University, Saarbrucken, Germany. Available at: http://thomas-zimmermann.com/publications/files/zimmermann-kcsd-2006.pdf
Téléchargements
Publié-e
Numéro
Rubrique
Licence
(c) Tous droits réservés Tetyana Shatovska 2015
Cette œuvre est sous licence Creative Commons Attribution 4.0 International.
Our journal abides by the Creative Commons CC BY copyright rights and permissions for open access journals.
Authors, who are published in this journal, agree to the following conditions:
1. The authors reserve the right to authorship of the work and pass the first publication right of this work to the journal under the terms of a Creative Commons CC BY, which allows others to freely distribute the published research with the obligatory reference to the authors of the original work and the first publication of the work in this journal.
2. The authors have the right to conclude separate supplement agreements that relate to non-exclusive work distribution in the form in which it has been published by the journal (for example, to upload the work to the online storage of the journal or publish it as part of a monograph), provided that the reference to the first publication of the work in this journal is included.