Naive Bayes Classifier Based Geographic Information System for University Search Information

Junta Zeniarja, Ardytha Luthfiarta, Catur Supriyanto

Abstract


Information about the geographical location of universities is necessary for graduates of Senior High School who want to continue their education to a university. Most of the graduate students do not know the location of the universities since the geographical location of Google Maps is less clear and less precise. Therefore, the application of Geographic Information Systems (GIS) based on Information Retrieval (IR) is expected to facilitate the graduate students to know the exact location of the university. In this paper, IR-based GIS application is developed by using web programming. The web is used as a search engine when someone wants to find a college. The application shows the map and information of the college in the area according to the query of the user. Naive Bayes algorithm is used to classify the user query and locate the query on the map. Based on our prototype, the application is promising to be implemented for the student.


Full Text:

PDF

References


Z.-L. Xiang, X.-R. Yu, A. W. M. Hui and D.-K. Kang, "Novel Naive Bayes based on Attribute Weighting in Kernel Density Estimation," in Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS, 2014.

X. Wu, V. Kumar, J. R. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. J. McLachlan, A. Ng, B. Liu, P. S. Yu, Z.-H. Zhou, M. Steinbach, D. J. Hand and D. Steinberg, "Top 10 algorithms in data mining," Knowl. Inf. Syst., vol. 14, p. 1–37, 2007.

Q. Jiang, W. Wang, X. Han, S. Zhang, X. Wang and C. Wang, "Deep Feature Weighting In Naive Bayes For Chinese Text Classification," in Proceedings of CCIS2016, 2016.

A. Goel, J. Gautam and S. Kumar, "Real Time Sentiment Analysis of Tweets Using Naive Bayes," in 2nd International Conference on Next Generation Computing Technologies (NGCT-2016), 2016.

M. Mertiya and A. Singh, "Combining Naive Bayes and Adjective Analysis for Sentiment Detection on Twitter," in International Conference on Inventive Computation Technologies (ICICT), 2016.

D. D. Arifin, Shaufiah and M. A. Bijaksana, "Enhancing Spam Detection on Mobile Phone Short Message Service (SMS) Performance using FP-Growth and Naive Bayes Classifier," in IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 2016.

K. M. A. Hasan, M. S. Sabuj and Z. Afrin, "Opinion Mining using Naïve Bayes," in IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2015.

P. Yildirim and D. Birant, "Naive Bayes Classifier for Continuous Variables using Novel Method (NBC4D) and Distributions," in IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings , 2014 .




DOI: https://doi.org/10.33633/jais.v2i2.1587

Article Metrics

Abstract view : 655 times
PDF - 423 times

Refbacks

  • There are currently no refbacks.


Flag Counter

 

 

 

 

Journal of Applied Intelligent System (e-ISSN : 2502-9401, p-ISSN : 2503-0493) is published by Department of Informatics Universitas Dian Nuswantoro Semarang and IndoCEISS.

  

 

Journal of Applied Intelligent System indexed by :


This journal is under licensed of Creative Commons Attribution 4.0 International License.

Visitor Stats