References
- Al-Aidaroo, K.M., A.A. Bakar, and Z. Othman, "Medical Data Classification with Naive Bayes Approach", Information Technology Journal, Vol.11, No.9, 2012, 1166-1174. https://doi.org/10.3923/itj.2012.1166.1174
- Gorla, A., I. Tavecchia, F. Gross, and A. Zeller, "Checking app behavior against app descriptions", in Proc. Int. Conf. Softw. Eng., 2014, 1025-1035.
- Baeza-Yates, R. and B. Ribeiro-Neto, "Modern information retrieval", Packt Publishing Ltd, Vol.9, 1999.
- Kreyenhagen, C.D., T.I. Aleshin, J.E. Bouchard, A.M.I. Wise, and R.K. Zalegowski, "Using supervised learning to classify clothing brand styles", in 2014 Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA, USA : IEEE, apr 2014, 239-243.
- Eck, M., S. Vogel, and A. Waibel, "Low Cost Portability for Statistical Machine Translation based on N-gram Frequency and TFIDF", in International Workshop on Spoken Language Translation, IWSLT 2005, Pittsburgh, PA, USA, 2005, 61-67.
- Fleiss, J.L., B. Levin, and M.C. Paik, Statistical methods for rates and proportions, New Jersey : John Wiley & Sons Hoboken, 2003.
- Freitag, D., "Machine learning for information extraction in informal domains", Machine Learning, Vol.39, No.2-3, 2000, 169-202. https://doi.org/10.1023/A:1007601113994
- Berardi, G., A. Esuli, T. Fagni, and F. Sebastiani, "Multi-store metadata-based supervised mobile app classification", in Proc. 30th Annu. ACM Symp. Appl. Comput., 2015, 585-588.
- Guo, Q., "An Effective Algorithm for Improving the Performance of Naive Bayes for Text Classification", in 2010 Second International Conference on Computer Research and Development, Kuala Lumpur, Malaysia : IEEE, No.1, 2010, 699-701.
- Gu, Z. and N. Cercone, "Naive Bayes Modeling with Proper Smoothing for Information Extraction", in 2006 IEEE International Conference on Fuzzy Systems. Vancouver, BC, Canada : IEEE, 2006, 393-400.
- Islam, M.R., "Numeric rating of Apps on Google Play Store by sentiment analysis on user reviews", in 2014 International Conference on Electrical Engineering and Information & Communication Technology, Dhaka, Bangladesh : IEEE, Apr 2014, 1-4.
- Lulu, L.B. and T. Kuflik, "Wise mobile icons organization : Apps taxonomy classification using functionality mining to ease apps finding", Mobile Inf. Syst., 2016.
- Maalej, W. and H. Nabil, "Bug report, feature request, or simply praise? On automatically classifying app reviews", in 2015 IEEE 23rd International Requirements Engineering Conference (RE), Ottawa, ON : IEEE, aug 2015, 116-125.
- McMillan, C., M.L. Vasquez, D. Poshyvanyk, and M. Grechanik, "Categorizing Software Applications for Maintenance", 27th IEEE International Conference on Software Maintenance (ICSM), 2011.
- Nithya, R. and D. Maheswari, "Sentiment Analysis on Unstructured Review", in 2014 International Conference on Intelligent Computing Applications, Coimbatore, India : IEEE, mar 2014, 367-371.
- Olabenjo, B., "Applying Naive Bayes Classification to Google Play Apps Categorization", arXiv : 1608.08574v1[cs.LG], 30 Aug, 2016.
- Surian, D., S. Seneviratne, A. Seneviratne, and S. Chawla, "App Miscategorization Detection : A Case Study on Google Play", IEEE Transactions on Knowledge and Data Engineering, Vol.29, No.8, 2017, 1591-1604. https://doi.org/10.1109/TKDE.2017.2686851
- Yang, Z., X. Nie, and W. Xu, "An Approach to Spam Detection by Naive Bayes Ensemble Based on Decision Induction", in Sixth International Conference on Intelligent Systems Design and Applications, Jinan, China : IEEE, Vol.2, 2006, 861-866.
- Zhang C., L. Wan, and D. Min, "A Classification of Car-related Mobile Apps : For App Development from a Convergence Perspective", Journal of Digital Convergence, Vol. 15, No.3, 2017, 77-86. https://doi.org/10.14400/JDC.2017.15.3.77
- Zhang, C., L. Wan, and D. Min, "Car App's Persuasive Design Principles and Behavior Change", Proceedings of the International Conference on Internet Technologies and Society 2016, ITS 2016 Melbourne, Australia, 2016, 73-82.
- Zhang, C., L. Wan, and D. Min, "Persuasive Design Principles of Car Apps", Proceedings of Business Information Systems, 19th International Conference in BIS 2016, Leipzig, Germany, 2016, 397-410.
- Zhu, H., E. Chen, H. Xiong, H. Cao, and J. Tian, "Exploiting enriched contextual information for mobile app classification", in Proc. 21st ACM Int. Conf. Inf. Knowl. Manage., 2012, 1617-1621.
- Zhu, H., E. Chen, H. Xiong, H. Cao, and J. Tian, "Mobile app classification with enriched contextual information", IEEE Trans. Mobile Comput., Vol.13, No.7, 2014, 1550-1563. https://doi.org/10.1109/TMC.2013.113
- Zhang, H. and S. Sheng, "Learning Weighted Naive Bayes with Accurate Ranking", in Fourth IEEE International Conference on Data Mining (ICDM'04), IEEE, 2004, 567-570.