Quantitative Analysis Powered by Naïve Bayes Classifier Algorithm to Data-Related Publications Social-Scientific Network
DOI:
https://doi.org/10.31686/ijier.vol8.iss6.2390Keywords:
Scientific Social Networks, Mendeley, Naïve Bayes, Machine LearningAbstract
Quantitative evaluation of a dataset can play an important role in pattern recognition of technical-scientific research involving behavior and dynamics in social networks. As an example, are the adaptive feature weighting approaches by naive Bayes text algorithm. This work aims to present an exploratory data analysis with a quantitative approach that involves pattern recognition using the Mendeley research network; to identify logics given the popularity of document access. To better analyze the results, the work was divided into four categories, each with three subcategories, that is, five, three, and two output classes. The name for these categories came up due to data collection, which also presented documents with open access, dismembering proceedings, and journals for two more categories. As a result, the performance for the test examples showed a lower error rate related to the subcategory two output classes in the criterion of popularity by using the naive Bayes algorithm in Mendeley.
References
CHAKRABARTI, S. R. S., and SOUNDALGEKAR, M.V. "Fast and Accurate Text Classification Via Multiple Linear Discriminant Projection," International Journal on Very Large Data Bases, pp. 170-185, 2003. DOI: https://doi.org/10.1007/s00778-003-0098-9
DIETTERICH, T.G. "Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms," Neural Computation, v. 10, pp. 1895-1924, 1997. DOI: https://doi.org/10.1162/089976698300017197
HOFFMANN, C. P., LUTZ, C., and MECKEL, M. "Impact Factor 2.0: Applying Social Network Analysis to Scientific Impact Assessment," In: 47th Hawaii International Conference on System Sciences, Waikoloa/ HI, pp. 1576-1585, 2014. DOI: https://doi.org/10.1109/HICSS.2014.202
JAIN, A. K., DUIN, R., and MAO, J. "Statistical Pattern Recognition: A Review," IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 22, pp. 4-37, 2000. DOI: https://doi.org/10.1109/34.824819
NASSI-CALÒ, L. "Evaluation metrics in science: current status and prospects." Latin American Journal of Nursing, v. 25, 2017. DOI: https://doi.org/10.1590/1518-8345.0000.2865
MOHAMMED Z., FARHAZ, M., IRSHD, M., BASTHIKODI, M., and FAIZABADI, A. R. A. "Comparative Study for Spam Classifications in E-mail Using Naïve Bayes and SVM Algorithm," Journal of Emerging Technologies and Innovative Research (JETIR). v. 6, pp. 391-393, 2019.
PANG, J. and BIAN, J. Android Malware Detection Based on Naïve Bayes. In: IEEE 10th International Conference on Software Engineering and Service Science (ICSESS), Beijing, China, p. 483-486, 2019. DOI: https://doi.org/10.1109/ICSESS47205.2019.9040796
REMU, R. H., OMAR, F., FERDOUS, R., ARIFEEN, M., SAKIB, S., and Reza, S. M. S. "Naive Bayes based Trust Management Model for Wireless Body Area Networks," International Conference on Computing Advancements (ICCA), New York, USA, pp. 1-4, 2020. DOI: https://doi.org/10.1145/3377049.3377084
SUDHA, M. Applied Computational Intelligence. Dwarka/ND, India, Educreation Publishing, 2019.
TING, S.L. IP, W.H. and TSANG, A. "Is Naïve Bayes a Good Classifier for Document Classification?" International Journal of Software Engineering and its Applications, v. 5, 2011.
ZHANG, L., JIANG L., LI, C. and KONG, G. "Two feature weighting approaches for naive Bayes text classifiers," Knowledge-Based Systems, pp. 137–144, 2016. DOI: https://doi.org/10.1016/j.knosys.2016.02.017
BIK, H.M. and GOLDSTEIN, M.C. "An Introduction to Social Media for Scientists," PLoS Biology, v. 11, n. 4, 2013. DOI: https://doi.org/10.1371/journal.pbio.1001535
WU, X., KUMAR, V., ROSS, Q. J., GHOSH, J., YANG, Q., MOTODA, H., MCLACHLAN, G. J., ANGUS N., LIU, B., YU, P. S., ZHOU, Z., STEINBACH, M., HAND, D. J., and STEINBERG, D. "Top 10 Algorithms in Data Mining. Knowledge and Information Systems," v. 14, pp. 1-37, 2008. DOI: https://doi.org/10.1007/s10115-007-0114-2
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Copyright (c) 2020 Tobias Ribeiro Sombra, Rose Marie Santini, Emerson Cordeiro Morais, Walmir Oliveira Couto, Alex de Jesus Zissou, Pedro Silvestre da Silva Campos, Paulo Cerqueira dos Santos Junior, Glauber Tadaiesky Marques, Otavio Andre Chase, José Felipe Souza de Almeida
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Accepted 2020-06-02
Published 2020-06-01
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