Davud Mohammadpur

Davud Mohammadpur
University of Zanjan · Department of Computer Engineering

About

12
Publications
2,494
Reads
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7
Citations
Citations since 2017
7 Research Items
6 Citations
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Introduction
Davud Mohamadpur, born in 1977, is currently an Assistant Professor in the Department of Computer Engineering, University of Zanjan. His research is focused on improvement of software development and information systems. His other major research interests include NoSQL and NewSQL Databases (Big Data, Non-Relational Database and Distributed Database). Since 2002, he has been a faculty member in the University of Zanjan. He received his M.A. in software engineering from the Iran University of Science and Technology in 2001 and his Ph.D. degree in software engineering from Malek-Ashtar University of Technology in 2018.

Publications

Publications (12)
Article
Full-text available
Performing sentiment analysis on the social network big data can be helpful for various research and business projects to take useful insights from the text-oriented content. In this work, we propose a general pre-processing framework for sentiment analysis, which is devoted to adopt FastText with recurrent neural network variants in order to prepa...
Conference Paper
Full-text available
The evolution of big data has created many opportunities in various fields to change or optimize existing processes. The extent to which these opportunities are used depends on extracting knowledge from them by analyzing the data. Machine learning methods are one of the best methods of data analysis because of their ability to learn and discover hi...
Article
Full-text available
Data structures are important parts of the programs. Most programs use a variety of data structures and quality of data structures excessively affects the quality of the applications. In current programming languages, they are defined by storing a reference to the data element in the data structure node. Some shortcomings of the current approach ar...
Article
Full-text available
Efficiency and flexibility of collections have a significant impact on the overall performance of applications. The current approaches to implement collections have two main drawbacks: (i) they limit the efficiency of collections and (ii) they have not adequate support for collection composition. So, when the efficiency and flexibility of collectio...
Experiment Findings
Full-text available
In this research, efforts have been made to address the challenges posed by query optimization in big data environments, including how to improve queries on large volume of data. The architecture of the Hive query engine are investigated in detail, and are referred to how to optimize queries that are specifically done by the compiler and optimizer...
Presentation
Full-text available
Due to the possibility of access to cloud computing and parallel computing, especially Map-Reduce (MR) processing models, it is possible to process large volumes of data. The results of these processes should be available, correctness and consistent. Since these computations are done on distributed machines and usually out of direct user control, i...
Data
Full-text available
Chapter
Full-text available
In this chapter, we discuss the threats, challenges, and guidance associated with securing an organization's core IT infrastructure at the network, host, and application levels in the cloud. According to the best knowledge of the authors, up to now, there are no research with this perspective on cloud security in the literature. This chapter repres...
Article
Full-text available
MapReduce is a simple and powerful processing model that allows parallel scalable programs to run on large volume of data on massive cluster of computers. Besides, Cassandra is a popular database of NoSQL solutions. According to scientific knowledge, still there are no general suitable procedures to perform arbitrary calculations in this database o...

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Projects

Project (1)
Project
secure data outsourcing secure query in outsourced databases privacy preserving in outsourced databases