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Cluster approach to the efficient use of multimedia resources in information warfare in wikimedia

Cluster approach to the efficient use of multimedia resources in information warfare in wikimedia The role of multimedia resources in information warfare in wikimedia is investigated. A new approach to uploading files in Wikimedia is proposed with the aim to enhance the impact of multimedia resources used for information warfare in Wikimedia. The proposed approach is based on clustering of media files accumulated in Wikimedia commons. Media file clustering is formalized as an optimization problem with control constraints. A PSO algorithm with adaptive parameters has been developed to solve the optimization problem. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Control and Computer Sciences Springer Journals

Cluster approach to the efficient use of multimedia resources in information warfare in wikimedia

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Publisher
Springer Journals
Copyright
Copyright © 2014 by Allerton Press, Inc.
Subject
Computer Science; Control Structures and Microprogramming
ISSN
0146-4116
eISSN
1558-108X
DOI
10.3103/S0146411614020023
Publisher site
See Article on Publisher Site

Abstract

The role of multimedia resources in information warfare in wikimedia is investigated. A new approach to uploading files in Wikimedia is proposed with the aim to enhance the impact of multimedia resources used for information warfare in Wikimedia. The proposed approach is based on clustering of media files accumulated in Wikimedia commons. Media file clustering is formalized as an optimization problem with control constraints. A PSO algorithm with adaptive parameters has been developed to solve the optimization problem.

Journal

Automatic Control and Computer Sciences – Springer Journals

Published: May 10, 2014

References

  • Cross-cultural analysis of the Wikipedia community
    Hara, N; Shachaf, P; Hew, KF
  • Shestaya mezhdunarodnaya konferentsiya “Internet-Obrazovanie”
    Alguliev, RM; Alekperova, IYa; Kasumova, RT
  • Be nice: Wikipedia norms for supportive communication. The new review of hypermedia and multimedia
    Joseph, M; Reagle, Jr
  • Automatic image pixel clustering with an improved differential evolution
    Das, S; Konar, A
  • Automatic clustering using an improved differential evolution algorithm
    Das, S; Abraham, A; Konar, A
  • Data Mining: Concepts and Techniques
    Han, J; Kamber, M
  • Modern Information Retrieval
    Baeza-Yates, R; Ribeiro-Neto, R
  • Web people search via connection analysis
    Kalashnikov, DV; Chen, ZS; Mehrotra, S; Nuray-Turan, R
  • Topic Detection and Tracking: Event-Based Information Organization
  • Automatic text documents summarization through sentences clustering
    Alguliev, RM; Alyguliev, RM
  • Global optimization in the summarization of text documents
    Aliguliev, RM; Alyguliev, RM; Bagirov, AM
  • Automatic document summarization by sentence extraction
    Aliguliyev, RM
  • Anomaly detection in Web documents using crisp and fuzzy-based cosine clustering methodology
    Friedman, M; Last, M; Makover, Y; Kandel, A
  • Techniques of cluster algorithms in data mining
    Grabmeier, J; Rudolph, A
  • A clustering method for document collections and algorithm for estimation the optimal number of clusters
    Aliguliyev, RM
  • A point symmetry-based clustering technique for automatic evolution of clusters
    Bandyopadhyay, S; Saha, S
  • A hierarchical ant based clustering algorithm and its use in three real-world applications
    Azzag, H; Venturini, G; Oliver, A; Guinot, C
  • Image interpretation using large corpus: wikipedia
    Rahurkar, M; Tsai, S-F; Dagli, C; Huang, TS
  • Analyzing and visualizing the semantic coverage of Wikipedia and its authors
    Holloway, T; Bozicevic, M; Borner, K
  • Proc. Int. Conf. on Web Information Systems Engineering (WISE)
    Nakayama, K; Hara, T; Nishio, S
  • Proc. 2006 IEEE/WIC/ACM Int. Conf. on Web Intell.
    Buriol, LS; Castillo, C; Donato, D; Leonardi, S; Millozzi, S
  • Semantic relatedness measurement based on Wikipedia link cooccurrence analysis
    Ito, M; Nakayama, K; Hara, T; Nishio, S
  • Techniques of cluster algorithms in data mining
    Grabmeier, J; Rudolph, A
  • Data clustering: A review
    Jain, A; Murty, M; Flynn, P
  • Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
    Ratnaweera, A; Halgamuge, SK; Watson, HC
  • An analysis of particle swarm optimizers
    Bergh, F
  • The particle swarm-explosion stability, and convergence in a multi-dimensional complex space
    Clerc, M; Kennedy, J
  • Editorial survey: swarm intelligence for data mining
    Martens, D; Baesens, B; Fawcett, T
  • Penalty function approach for the mixed discrete nonlinear problems by particle swarm optimization
    Kitayama, S; Arakawa, M; Yamazaki, K