Big Data

The increasing of achievements in information technology produce
the large size of data that is very popular today.

Because of these characteristics, the Big Data needs sophisticated algorithms to process and powerful Computer machine

Lab Research

Skyline

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
Lab Research

MapReduce

MapReduce is a standard framework for parallel processing today

Commonly,it runs above Hadoop cluster to process large size of data
Lab Research

Big Data Lab

Welcome to

Big Data Lab

In this lab, the researchers and students focus to study and develop algorithms for Big Data such as Skyline Query processing, MapReduce, and others.

Lab Member



Lab 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.


Publications and Researches