March 2018, IDL presented data analytic results (based on AU’s students intakes for the past five years) to the University Registrar, Dr. Soonthorn Pibooncharoensit. Details can be found here.
For this academic service, IDL is planning to deliver the results every academic semester, hence the Office of the University Registrar is able to utilize the results for their recruitment’s planning and management.
Big data is a field that treats of ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate.Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data)  and value.
The project aims to assist police officers to enforce the traffic laws. A sample use case is detecting driving in the wrong direction. The camera was used to capture the motion of objects. If the objects travel in the wrong direction, the camera snaps a photo and feeds to the licence plate character recognition subsystem to extract the characters of the licence plate.
- Prateep Dharaan
- Roshan Pandey
- Vitchayut Cheravinich
Data Scientist is a hot new role. Evidence is visible when ones try seeking for data scientist roles. The role requires knowledge to deal with data which eventually adds value to the business.