Algorithms for the Longest Common Subsequence Problem
Journal of the ACM (JACM)
Linearized cluster assignment via spectral ordering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Discovering Social Networks from Event Logs
Computer Supported Cooperative Work
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
Spectral clustering by recursive partitioning
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
Creation of Students' Activities from Learning Management System and their Analysis
CASON '09 Proceedings of the 2009 International Conference on Computational Aspects of Social Networks
E-learning Behavior Analysis Based on Fuzzy Clustering
WGEC '09 Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
The Evaluation and Analysis of Student E-Learning Behaviour
ICIS '11 Proceedings of the 2011 10th IEEE/ACIS International Conference on Computer and Information Science
Web usage mining project for improving web-based learning sites
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
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Learning management systems are widely used as a support of distance learning. Recently, these systems successfully help in present education as well. Learning management systems store large amount of data based on the history of users' interactions with the system. Obtained information is commonly used for further course optimization, finding e-tutors in collaboration learning, analysis of students' behavior, or for other purposes. The partial goal of the paper is an analysis of students' behavior in a learning management system. Students' behavior is defined using selected methods from sequential and process mining with the focus to the reduction of large amount of extracted sequences. The main goal of the paper is description of our Left-Right Oscillate algorithm for community detection. The usage of this algorithm is presented on the extracted sequences from the learning management system. The core of this work is based on spectral ordering. Spectral ordering is the first part of an algorithm used to seek out communities within selected, evaluated networks. More precise designations for communities are then monitored using modularity.