1 citations · 1 across the 5 of their papers we have counts for
5 papers
An Efficient Data Analysis Method for Big Data using Multiple-Model Linear Regression
Bohan Lyu, Jianzhong Li
This paper introduces a new data analysis method for big data using a newly defined regression model named multiple model linear regression(MMLR), which separates input datasets in…
The Hardness of Optimization Problems on the Weighted Massively Parallel Computation Model
Hengzhao Ma, Jianzhong Li
The topology-aware Massively Parallel Computation (MPC) model is proposed and studied recently, which enhances the classical MPC model by the awareness of network topology. The wor…
Turing Machines with Two-level Memory: A Deep Look into the Input/Output Complexity
Hengzhao Ma, Jianzhong Li, Xiangyu Gao +1
The input/output complexity, which is the complexity of data exchange between the main memory and the external memory, has been elaborately studied by a lot of former researchers.…
Approximate sorting and its application in I/O model
Tianpeng Gao, Jianzhong Li
The approximate sorting for big data is considered in this paper. The goal of approximate sorting for big data is to generate an approximate sorted result, but using less CPU and I…
A New Model for Massively Parallel Computation Considering both Communication and IO Cost
Hengzhao Ma, Xiangyu Gao, Jianzhong Li +1
In the research area of parallel computation, the communication cost has been extensively studied, while the IO cost has been neglected. For big data computation, the assumption th…