Welcome to
Big Data Lab
In this lab, the researchers and student focus to study and develop algorithms for BigData such as skyline query processing, MapReduce, and others.
[Lab Complete Description 2]
Research
Research
Big Data Lab
Currently, we develop a new MapReduce Skyline queries and upgrading products recommendation system. Many existing MapReduce Skyline queries algorithms have been published by researchers around the world. We develop a new MapReduce Skyline algorithms that improve the partitioning and filtering strategy. Besides that, we also develop a decision-making system for upgrading products that is based on Skyline and Top-K approaches.
About
Big Data
The increasing of achievements in information technology produce the large size of data that is very popular today. Generally, it has four characteristics that are volume, variety, velocity, and veracity. These characteristics are also called by “4V”. Because of these characteristics, the Big Data needs sophisticated algorithms to process and powerful Computer machine.
About
Skyline Queries
A query to find data points that are not dominated by any other points is called by skyline queries. It is very useful for decision-making system. Skyline queries computation is hard for high dimension and large size of data. It attracts many researchers to find an efficient algorithm or to discover the valuable variants and applications of skyline queries.
About
MapReduce
Currently, we develop a new MapReduce Skyline queries and upgrading products recommendation system. Many existing MapReduce Skyline queries algorithms have been published by researchers around the world. We develop a new MapReduce Skyline algorithms that improve the partitioning and filtering strategy. Besides that, we also develop a decision-making system for upgrading products that is based on Skyline and Top-K approaches.