Training Students with Data Mining and GIS

  • Authors

    • Ali Taha Yaseen
    • Zaki S. Tywofik
    • Mohammed Q. Mohammed
    https://doi.org/10.14419/ijet.v7i3.20.28416
  • Data Mining, GIS, SOM, Classificaion

  • Abstract

    Present in colleges to day the students have course of the data mining which is the procedure of mining knowledge from data to solve problems, gain knowledge and set expectations. Students in the course have acquired a great knowledge and understanding of the processes involved in extracting data through the experience gained in data extraction applications. The course has shown that students' education is appropriate and can be successful. In this research students apply their expertise on data taken from the Iraqi Health Ministry to persons infected with hepatitis in Iraq's cities to discover knowledge about the virus, and that the use of geographic information system (GIS) to display the result to extract the data in the map of Iraq, which give force for them work and that new way to combine data mining with GIS.

     

     

  • References

    1. [1] Witten, I., Frank E. (2000). Data Mining. Academic Press.

      [2] Sullivan, T. (2000) “EMC's Ruettgers warns of data explosion.†InfoWorld.comhttp://www.infoworld.com/articles/hn/xml/00/10/04/001004hnruettgers.xml?spon sor=STORAGE

      [3] Shakeel, P.M., Tolba, A., Al-Makhadmeh, Zafer Al-Makhadmeh, Mustafa Musa Jaber, “Automatic detection of lung cancer from biomedical data set using discrete AdaBoost optimized ensemble learning generalized neural networksâ€, Neural Computing and Applications,2019,pp1-14.https://doi.org/10.1007/s00521-018-03972-2

      [4] University of Waikato. “Weka 3 – Machine Learning Software in c++.†http://www.cs.waikato.ac.nz/ml/weka/

      [5] Knowledge Seeker Data Mining Tool. “Angoss Home Page.†http://www.angoss.com/

      [6] U. S. Forest Service. (1992). “The Eastwide Forest Inventory Database User’s Manual.†http://srsfia.usfs.msstate.edu/ewman.htm

      [7] Whalin, P. (2000) “Data Mining Research.â€

      [8] Ludwig, L., Flies, D., Wilson, A. (2000) “Data Mining Techniques Applied to the Relationship of Latitude and the Lifespan of Aspen Trees†http://epoxy.mrs.umn. edu ~ludwigl/datamining/research.pdf

      [9] JOHN PICKLES (2003)"GIS for the urban environment" PRINTED IN USA CROWN5M 7/06DH PRODECT BY ESRI Ministry of health.

      [10] Preeth, S.K.S.L., Dhanalakshmi, R., Kumar, R.,Shakeel PM.An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system.Journal of Ambient Intelligence and Humanized Computing.2018:1–13. https://doi.org/10.1007/s12652-018-1154-z

      [11] A. Meri et al., “Modelling the Utilization of Cloud Health Information Systems in the Iraqi Public Healthcare Sector,†Telemat. Informatics, 2018.

      [12] P. M. Shakeel, S. Baskar, V. R. S. Dhulipala, and M. M. Jaber, “Cloud based framework for diagnosis of diabetes mellitus using K-means clustering,†Heal. Inf. Sci. Syst., vol. 6, no. 1, p. 16, 2018.

      [13] P. M. Shakeel, S. Baskar, V. R. S. Dhulipala, S. Mishra, and M. M. Jaber, “Maintaining security and privacy in health care system using learning based Deep-Q-Networks,†J. Med. Syst., vol. 42, no. 10, p. 186, 2018.

      [14] M. A. Mohammed et al., “Genetic case-based reasoning for improved mobile phone faults diagnosis,†Comput. Electr. Eng., 2018.

      [15] M. Jarrar, M. S. Minai, M. Al-Bsheish, A. Meri, and M. Jaber, “Hospital nurse shift length, patient-centered care, and the perceived quality and patient safety,†International Journal of Health Planning and Management, 2018.

      [16] Shakeel PM. Neural Networks Based Prediction Of Wind Energy Using Pitch Angle Control. International Journal of Innovations in Scientific and Engineering Research (IJISER). 2014;1(1):33-7.

      [17] M. T. Naseem et al., “Preprocessing and signal processing techniques on genomic data sequences,†Biomed. Res., vol. 28, no. 22, 2017.

      [18] M. H. Ali, M. F. Zolkipli, M. A. Mohammed, and M. M. Jaber, “Enhance of extreme learning machine-genetic algorithm hybrid based on intrusion detection system,†J. Eng. Appl. Sci., vol. 12, no. 16, 2017.

      [19] M. H. Ali, M. F. Zolkipli, M. M. Jaber, and M. A. Mohammed, “Intrusion detection system based on machine learning in cloud computing,†J. Eng. Appl. Sci., vol. 12, no. 16, 2017.

      [20] Integrating GIS and Spatial Data Mining Techniques for Target marketing of University Courses | Request PDF. Available from: https://www.researchgate.net/publication/228529975_Integrating_GIS_and_Spatial_Data_Mining_Techniques_for_Target_marketing_of_University_Courses [accessed Nov 05 2018].

      [21] El-Halees, A. (2008), Mining students data to analyze learning behavior: a case study,

      [22] Flies, D. (2001) “Designing & Implementing a Classroom Data Warehouse.â€MICS.

      [23] P. Mohamed Shakeel; Tarek E. El. Tobely; Haytham Al-Feel; Gunasekaran Manogaran; S. Baskar., “Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensorâ€, IEEE Access, 2019, Page(s): 1

      [24] L. Haoyu, L. Jianxing, N. Arunkumar, A. F. Hussein, and M. M. Jaber, “An IoMT cloud-based real time sleep apnea detection scheme by using the SpO2 estimation supported by heart rate variability,†Futur. Gener. Comput. Syst., 2018.

      [25] S. K. Abd, S. A. R. Al-Haddad, F. Hashim, A. B. H. J. Abdullah, and S. Yussof, “Energy-Aware Fault Tolerant Task offloading of Mobile Cloud Computing,†in Proceedings - 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2017, 2017.

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  • How to Cite

    Taha Yaseen, A., S. Tywofik, Z., & Q. Mohammed, M. (2018). Training Students with Data Mining and GIS. International Journal of Engineering & Technology, 7(3.20), 910-913. https://doi.org/10.14419/ijet.v7i3.20.28416

    Received date: 2019-03-15

    Accepted date: 2019-03-15