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Morchid, M., Dufour, R., Bousquet, P., Linarès, G. and Torres-Moreno, J. (2014) Feature Selection Using Principal Component Analysis for Massive Retweet Detection. Pattern Recognition Letters, 49, 33-39.
http://dx.doi.org/10.1016/j.patrec.2014.05.020

has been cited by the following article:

• TITLE: Methods of Importance Evaluation for Information Subsystems in Manufacturing Enterprises Based on Centrality

  AUTHORS: Zhiting Song, Yanming Sun, Jingrong Yi, Li Ni

  KEYWORDS: Importance Evaluation, Information Subsystems, Manufacturing Enterprises, Centrality

  JOURNAL NAME: Open Journal of Business and Management, Vol.3 No.2, March 25, 2015

  ABSTRACT: Determining the importance of information subsystems is critical to the construction and maintenance of the information systems in manufacturing companies. From the perspective of the interactions among subsystems, several centrality models are developed to assess the importance of subsystems by using software called Code Blocks. A case study is done to test the methods. The results can provide an objective basis for decision making in management activities of an information system, such as information system planning and maintenance, resource allocation and utilization in manufacturing enterprises. The proposed methods will provide new approaches to the quantitative evaluation of the importance of information subsystems.