ABOUT ME
I am a data scientist. My primary interest involves addressing the "rare item problem" in pattern mining by finding user interest-based patterns in various forms of data (e.g. transactional databases, temporal databases, utility databases, and spatiotemporal databases). I have also extended some of my works to discover useful information in agricultural data repositories, air pollution data repositories, and traffic congestion databases.
I have published my research findings in several refereed journals and conferences. Additionally, I am a PC member for the following conferences: PAKDD, DEXA, DAWAK, AusDM, TENCON, and BDA.
Currently, I am developing two toolkits for the proposed algorithms. These toolkits can be accessed from the GitHub
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1. PAttern MIning toolkit in C language (PAMI_CKit)
2. PAttern MIning toolkit in Python language (PAMI_PYKit)
My recent project, VEhicle Environmental NAvigation system (VEENA), predicting congestion on Kobe roads during Typhoon Nangka, 2015
My skill set:
C/C++/JAVA/J2EE/J2ME/JAVASCRIPT (highly skilled)
HTML/CSS/XML (highly skilled)
MYSQL/PostGres (highly skilled)
Azure/Amazon EC2 (intermediary)
Python/Matlab (intermediary)