Elements of information theory
Elements of information theory
Unsupervised feature selection using a neuro-fuzzy approach
Pattern Recognition Letters
Unsupervised Feature Selection Using Feature Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Subset Selection and Order Identification for Unsupervised Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
An Efficient Clustering Algorithm for Market Basket Data Based on Small Large Ratios
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
CLOPE: a fast and effective clustering algorithm for transactional data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Feature Selection for Clustering - A Filter Solution
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Dimensionality Reduction of Unsupervised Data
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Content-based image retrieval by using tree-structured features and multi-layer self-organizing map
Pattern Analysis & Applications
Effective feature selection scheme using mutual information
Neurocomputing
Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information
IEEE Transactions on Neural Networks
Hi-index | 12.05 |
A new application of nominal data analysis to computational accounting system is introduced. ''Chart of Account'' (COA), the structure of the Enterprise Requirement Planning (ERP) Accounting System is used as a nominal dataset enabling nominal feature selection technique be used to determine the close-optimal number of accounting segments. Five datasets are simulated with entropy measurement using the method of SUD. Self-Organizing map (SOM) is used to investigate the similarities among different segments, which proved to be a useful approach in cross-examining the COA structure. The obtained results show that they are promising from both computation and accounting perspectives.