An approach preserve quality medical drug data (Semi-structure) toward meaningful data lake by cluster
Dissertant
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 Subjects
Information Technology and Computer Science
Topics
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