An approach to improve data quality from veracity of data accuracy for sensitive cost and time indicators
مقدم أطروحة جامعية
مشرف أطروحة جامعية
al-Fayyumi, Muhammad
al-Ziyadat, Wail
الجامعة
جامعة الإسراء
الكلية
كلية تكنولوجيا المعلومات
القسم الأكاديمي
قسم هندسة البرمجيات
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2018
الملخص الإنجليزي
Big data is a term which describe the characteristics of a dataset, such as volume, value and veracity.
There are many challenges which prevent proceeding and working with big data by using traditional techniques to extract value.
Project management is a dynamic process that utilizes the appropriate resources of an organization in many phases by measuring in four factor: scope, time, cost and quality.
Improving data quality depends on relations between data and value, which are associated with veracity and accuracy of data and how we can get quality from value.
In this research, we attempt to improve data quality from big data characteristics depending on trust of data by working with it in general and especially by using value, volume and veracity of data by finding out correlation statistical analysis results and distance equation.
This approach was implemented by using IBM human resource scope with R framework through selecting “Deducer” package from R library.
Implementation and conducting experiment have been carried out by using three main factors: time, cost and scope in two types: product and project, where the strongest relation linking them starts with project scope as the strongest factor followed by cost, product and finally time which is the weakest factor among them.
In the final form, we select the best quality using two sides generally: quality degree and middle-quality interval.
Especially, relative distance is the strongest factor in the experiment between time and cost, where both sides lead to more trust of data and high accuracy in the chosen process.
التخصصات الرئيسية
العلوم الهندسية والتكنولوجية (متداخلة التخصصات)
الموضوعات
عدد الصفحات
58
قائمة المحتويات
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Methodology.
Chapter Four : Experimental results and analysis.
Chapter Four : Conclusion and future work.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Muhammad, Banan Arif. (2018). An approach to improve data quality from veracity of data accuracy for sensitive cost and time indicators. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-896369
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Muhammad, Banan Arif. An approach to improve data quality from veracity of data accuracy for sensitive cost and time indicators. (Master's theses Theses and Dissertations Master). Isra University. (2018).
https://search.emarefa.net/detail/BIM-896369
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Muhammad, Banan Arif. (2018). An approach to improve data quality from veracity of data accuracy for sensitive cost and time indicators. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-896369
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-896369
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر