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MATLAB-Based Graphical User Interface (GUI) for Data Mining as a Tool for Environment Management

Authors: M. Awawdeh, A. Fedi

Abstract:

The application of data mining to environmental monitoring has become crucial for a number of tasks related to emergency management. Over recent years, many tools have been developed for decision support system (DSS) for emergency management. In this article a graphical user interface (GUI) for environmental monitoring system is presented. This interface allows accomplishing (i) data collection and observation and (ii) extraction for data mining. This tool may be the basis for future development along the line of the open source software paradigm.

Keywords: Data Mining, Mathematical Models, environmental data, Matlab Graphical User Interface

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1090858

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References:


[1] Jessica Spate, Karina Gibert, Miquel S`anchez-Marr`e, Eibe Frank, Joaquim Comas, Ioannis Athanasiadis, Rebecca Letcher, "Data Mining as a Tool for Environmental Scientists”. Al Magazine Vol.17.1996.
[2] Usama Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth, From Data Mining to Knowledge Discovery in Databases, Article.
[3] Richard Johnson and Dean Wichern, "Applied Multivariate Statistical Analysis", 1992.
[4] John W. Tukey, "Exploratory data analysis”, 1977.
[5] Weiss, Sholom M. and Kulikowski, Casimir A. "Classification and prediction methods from statistics, neural nets, machine learning, and expert systems", 1991.
[6] Anil K. Jain and Richard C. Dubes. "Algorithms for data clustering", 1988.
[7] Math Works, http://www.mathworks.it/index.html
[8] Mikut, R.; Reischl, M.; Burmeister, O.; Loose, T.: Data Mining in Medical Time Series. Biomedizinische Technik, vol. 51, pp. 288–293, 2006.J.
[9] R. Mikut, O. Burmeister, S. Braun, M. Reischl, "the open source matlab toolbox gait-cad and its application to bioelectric signal processing”, Paper, Institute for Applied Computer Science, Forschungszentrum Karlsruhe GmbH, Germany.
[10] Hao Yu and B. M. Wilamowski, "Levenberg–Marquardt Training” Industrial Electronics Handbook, vol. 5 – Intelligent Systems, 2nd Edition, chapter 12, pp. 12-1 to 12-15, CRC Press 2011.
[11] NIE project documents, ACROTEC Company. http://www.acrotec.it
[12] Muhammad Aqil, Ichiro Kita, Akira Yano, and NishiyamaSoichi. "Decision Support System for Flood Crisis Management using Artificial Neural Network”, International Journal of Electrical and Computer Engineering 1:5 2006
[13] David Hand, Principle of Data Mining. Massachusetts Institute of Technology, 2001.
[14] Feng Jiansheng. KDD and its applications, BaoGangtechniqyes. 1993.
[15] Xianjun NI, Research of Data Mining Based on Neural Networks. World Academy of Science, Engineering and Technology, 39 2008.
[16] Ben-Gal, Data Mining and Knowledge Discovery Handbook, chapter one."Kluwer Academic Publisher, 2005”.