An approach preserve quality medical drug data (Semi-structure)‎ toward meaningful data lake by cluster

Dissertant

al-Husaynah, Arin Mutib Nasir

Thesis advisor

al-Fayyumi, Muhammad
al-Ziyadat, Wail

University

Isra University

Faculty

Faculty of Information Technology

Department

Department Software Engineering

University Country

Jordan

Degree

Master

Degree Date

2019

English Abstract

Big data is facing many challenges in different aspects, which appear in characteristics such as: Velocity, Volume, Value and Veracity. Processing and analysis of big data are challenging issues to acquire quality information in order to support accurate medical drug practice. The quality of data taxonomy is indicated by three basic elements: are meaningful, predication and decision-making. These elements have been encouraged in previous work that focused on the same challenges of big data. Consequently, the proposed approach preserves the quality of medical drug data toward meaningful data lake by clustering. It consists of four components. Data collection and pre-processing represent the first component in the data lake. Profile data is treated with semi-structured data to clean it up. The second component is extracting data through enforcing rules on whole data to produce different groups and generate weight based on constraints within groups. In component three, data is organized and clustering. This component complies with schema profiling refering to component two in the data lake. Weight outputs of component three are inputs for component four, where K-Mean clustering is applied to obtain different clusters. Each cluster presents an alternative drug to achieve meaningful drug data that is consistent with component three in the data lake. An experimental approach was followed through using Food and Drug Administration (FDA) data and symptoms in R framework. ANOVA statistical test was carried out to calculate sum of square error, P-Value and F-Value. The results showed the efficiency of the proposed approach.

Main Topic

Engineering Sciences and Information Technology

No. of Pages

54

Table of Contents

Table of contents.

Abstract.

Chapter One : Introduction.

Chapter Two : Background and related work.

Chapter Three : Methodology.

Chapter Four : Experiment and discussions.

Chapter Five : Results and future works.

References.

American Psychological Association (APA)

al-Husaynah, Arin Mutib Nasir. (2019). An approach preserve quality medical drug data (Semi-structure) toward meaningful data lake by cluster. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-890027

Modern Language Association (MLA)

al-Husaynah, Arin Mutib Nasir. An approach preserve quality medical drug data (Semi-structure) toward meaningful data lake by cluster. (Master's theses Theses and Dissertations Master). Isra University. (2019).
https://search.emarefa.net/detail/BIM-890027

American Medical Association (AMA)

al-Husaynah, Arin Mutib Nasir. (2019). An approach preserve quality medical drug data (Semi-structure) toward meaningful data lake by cluster. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-890027

Language

English

Data Type

Arab Theses

Record ID

BIM-890027