IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v17y2018i04ns0219649218500430.html
   My bibliography  Save this article

A New Associative Classification Algorithm for Predicting Groundwater Locations

Author

Listed:
  • Faisal Aburub

    (Department of Management Information Systems, Faculty of Administrative and Financial Sciences, University of Petra, P. O. Box 961343, Amman, Jordan)

  • Wa’el Hadi

    (Department of Computer Information Systems, Faculty of Information Technology, University of Petra, P. O. Box 961343, Amman, Jordan)

Abstract

In this paper, we study the problem of predicting new locations of groundwater in Jordan through the application of a proposed new method, Groundwater Prediction using Associative Classification (GwPAC). We identify features that differentiate locations of groundwater wells according to whether or not they contain water. In addition, we survey intelligent-based methods related to groundwater exploration and management. Three experimental analyses were conducted with the objective to evaluate the capability of data mining algorithms using real groundwater data from the Ministry of Water and Irrigation. In the first experiment, we investigated the performance of GwPAC against three well-known associative classification algorithms, namely CBA, CMAR and FACA. Furthermore, three rule-based algorithms — C4.5, Random Forest and PBC4cip — were investigated in the second experiment; further, so as to generalise the capability of using data mining for solving the groundwater detection problem, four benchmark algorithms — SVMs, NB, KNN and ANNs — were evaluated in the third experiment. From all the experiments, the results indicated that all considered data mining algorithms predict locations of groundwater with acceptable classification rate (all classification accuracies >79%), and can be useful methods when seeking to address the problem of exploring new groundwater locations.

Suggested Citation

  • Faisal Aburub & Wa’el Hadi, 2018. "A New Associative Classification Algorithm for Predicting Groundwater Locations," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-26, December.
    • Handle: RePEc:wsi:jikmxx:v:17:y:2018:i:04:n:s0219649218500430
    DOI: 10.1142/S0219649218500430
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649218500430
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219649218500430?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Neda Abdelhamid & Aladdin Ayesh & Fadi Thabtah & Samad Ahmadi & Wael Hadi, 2012. "MAC: A Multiclass Associative Classification Algorithm," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-10.
    2. Ali El-Naqa & Ammar Al-Shayeb, 2009. "Groundwater Protection and Management Strategy in Jordan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2379-2394, September.
    3. M. Salahat & M. Al-Qinna & K. Mashal & N. Hammouri, 2014. "Identifying Major Factors Controlling Groundwater Quality in Semiarid Area Using Advanced Statistical Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3829-3841, September.
    4. Fadi Thabtah & Qazafi Mahmood & Lee McCluskey & Hussein Abdel-Jaber, 2010. "A New Classification Based on Association Algorithm," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 55-64.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Temmerman, Fitzgerald, 2011. "Virtual Water Trade and International Trade Law," Papers 212, World Trade Institute.
    2. Hepzi Jeya Pushparani & Nancy Jasmine Goldena, 2022. "Reliable Distributed Fuzzy Discretizer for Associative Classification of Big Data," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 12(1), pages 1-13, January.
    3. Anthony Gramaje & Fadi Thabtah & Neda Abdelhamid & Sayan Kumar Ray, 2021. "Patient Discharge Classification Using Machine Learning Techniques," Annals of Data Science, Springer, vol. 8(4), pages 755-767, December.
    4. Frank Ward & Manuel Pulido-Velazquez, 2012. "Economic Costs of Sustaining Water Supplies: Findings from the Rio Grande," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2883-2909, August.
    5. Chandrashekhar Bhuiyan & Prashant Kumar Champati Ray, 2017. "Groundwater Quality Zoning in the Perspective of Health Hazards," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 251-267, January.
    6. Adrian Werner & Qi Zhang & Lijuan Xue & Brian Smerdon & Xianghu Li & Xinjun Zhu & Lei Yu & Ling Li, 2013. "An Initial Inventory and Indexation of Groundwater Mega-Depletion Cases," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 507-533, January.
    7. Hani Al-Amoush & Nezar Hammouri & Franz Zunic & Elias Salameh, 2010. "Intrinsic Vulnerability Assessment for the Alluvial Aquifer in the Northern Part of Jordan Valley," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3461-3485, October.
    8. Yahia A. Othman & Monther Tahat & Kholoud M. Alananbeh & Malik Al-Ajlouni, 2022. "Arbuscular Mycorrhizal Fungi Inoculation Improves Flower Yield and Postharvest Quality Component of Gerbera Grown under Different Salinity Levels," Agriculture, MDPI, vol. 12(7), pages 1-12, July.
    9. Sigel, Katja & Klassert, Christian & Zozmann, Heinrich & Talozi, Samer & Klauer, Bernd & Gawel, Erik, 2017. "Urban water supply through private tanker water markets: An empirical market analysis of Amman, Jordan," UFZ Reports 02/2017, Helmholtz Centre for Environmental Research (UFZ).
    10. Taleb Abu-Sharar & Emad Al-Karablieh & Munther Haddadin, 2012. "Role of Virtual Water in Optimizing Water Resources Management in Jordan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 3977-3993, November.
    11. Esmaeil Asadi & Mohammad Isazadeh & Saeed Samadianfard & Mohammad Firuz Ramli & Amir Mosavi & Narjes Nabipour & Shahaboddin Shamshirband & Eva Hajnal & Kwok-Wing Chau, 2019. "Groundwater Quality Assessment for Sustainable Drinking and Irrigation," Sustainability, MDPI, vol. 12(1), pages 1-13, December.
    12. Chen-Wuing Liu & Yen-Lu Chou & Shien-Tsung Lin & Gin-Jie Lin & Cheng-Shin Jang, 2010. "Management of High Groundwater Level Aquifer in the Taipei Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3513-3525, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:jikmxx:v:17:y:2018:i:04:n:s0219649218500430. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.