Universiti Teknologi Malaysia Institutional Repository

Predictive analytics in Malaysian dengue data from 2010 until 2015 using BigML

Zainudin, Zanariah and Shamsuddin, Siti Mariyam (2016) Predictive analytics in Malaysian dengue data from 2010 until 2015 using BigML. International Journal of Advances in Soft Computing and its Applications, 8 (3). pp. 18-30. ISSN 2074-8523


Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....


When era big data has reached to Malaysia, our government realized that all data are streaming all over the Internet from various data sources like sensors, social media data, excel spreadsheets, reviews, customer data, and etc. There are a lot data from our government need to be analysis which is can help decision making in the future. This Malaysia Open data can be analysis to help the government to predict what the next planning to do. In this paper, we use the Malaysia Open Data Government Portal about Malaysian Dengue Hotspot from 2010 until 2015. In the days, machine learning algorithms and technologies were mostly used by scientists, tech geeks or domain experts. However, several organizations are now using machine learning online and offline tool to make these technologies available to the masses to people outside. Online and offline tool make it easy for developers to apply machine learning to a dataset so as to add predictive features to their applications. In this paper, we used BigML which it provide online platform to integrate machine learning in real world applications and to predict the most popular place for Dengue to get an early warning and awareness to the people. BigML use the decision tree algorithms to do data analytics and prediction the popular place. In this case, we are using BigML to predict the place which always dengue occur in Malaysia which is also called as hotspot.

Item Type:Article
Uncontrolled Keywords:Malaysian dengue hotspot, Predictive analytics
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:71306
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:16 Nov 2017 17:41
Last Modified:16 Nov 2017 17:41

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