Advances in Visual Informatics: 4th International Visual by Halimah Badioze Zaman, Peter Robinson, Alan Smeaton, Timothy PDF
By Halimah Badioze Zaman, Peter Robinson, Alan Smeaton, Timothy K. Shih, Sergio Velastin, Azizah Jaafar, Mohamad Ali Nazlena
This ebook constitutes the refereed court cases of the Fourth foreign convention on Advances in visible Informatics, IVIC 2015, held in Bangi, Malaysia, in November 2015.
The 5 keynotes and forty five papers awarded have been rigorously reviewed and chosen from eighty two preliminary submissions. The papers are equipped in 4 tracks on visualization and massive facts; desktop studying and laptop imaginative and prescient; special effects; in addition to digital reality.
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Extra info for Advances in Visual Informatics: 4th International Visual Informatics Conference, IVIC 2015, Bangi, Malaysia, November 17-19, 2015, Proceedings
Thus, we need a cornerstone to make sure an overview concept design of visual representation design for big data interface is suﬃcient to provide the systemic view. Since the inevitable of the systemic view in current visualization-computational based is rooted from the theory of analytical reductionism - states that the system is a ‘sum of its parts’ and account system can be broken down into diﬀerent individual accounts. That theory is applicable for complicated system but clearly a mismatch for complex matters.
FA has two major factors; the ﬂashing light that is indicates ﬁtness of a ﬁreﬂy and the attractiveness between ﬁreﬂies that represent the distance between two ﬁreﬂies. FA was presented to solve various optimization problems, including economic dispatch problems , anomaly detection , and data clustering [26, 27]. As the utilization of FA has proven to be successful, this study proposes hier‐ archical text clustering that is based on Fireﬂy algorithm. 3 Proposed Clustering Method Figure 1 presents the main steps in the proposed aFAmerge clustering; document clustering using Enhanced Weight-based Fireﬂy algorithm  and cluster merging using an enhanced UPGMAE with cluster selection.
Evol. Comput. 15(3), 345–367 (2007) 16. : Simplifying and improving ant-based clustering. Procedia Comput. Sci. 4, 46–55 (2011) 17. : Fireﬂy algorithm, stochastic test functions and design optimization. Int. J. BioInspired Comput. J. Mohammed et al. 18. : Fireﬂy algorithm: recent advances and applications. Int. J. Swarm Intell. 1(1), 36–50 (2013) 19. : Document clustering based on ﬁreﬂy algorithm. J. Comput. Sci. 11(3), 453–465 (2015) 20. Newsgroup Data Set (2006). edu/20Newsgroup/ 21. : The reuters-21578 text categorization test collection (1999).
Advances in Visual Informatics: 4th International Visual Informatics Conference, IVIC 2015, Bangi, Malaysia, November 17-19, 2015, Proceedings by Halimah Badioze Zaman, Peter Robinson, Alan Smeaton, Timothy K. Shih, Sergio Velastin, Azizah Jaafar, Mohamad Ali Nazlena