Reducing rule generation complexity in the prism algorithm
العناوين الأخرى
تقليل وقت عملية توليد القواعد في خوارزمية برزم
مقدم أطروحة جامعية
مشرف أطروحة جامعية
أعضاء اللجنة
Duwayri, Rehab
al-Ghul, Said
Alawinah, Ali
al-Emam, Nimr
الجامعة
جامعة فيلادلفيا
الكلية
كلية تكنولوجيا المعلومات
القسم الأكاديمي
قسم علم الحاسوب
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2014
الملخص الإنجليزي
-Data mining is a computer science field that works on finding the relations and patterns that are found within data (training data), by detecting these relations and patterns, rules can be created, that can be used later on to filter out and process future data (test data).
Prism is an easy covering algorithm depending on separate-and-conquer algorithms; this algorithm creates rules by discovering the power of relations between attribute items with the objective class.
The primary phase in Prism is the rule creation phase, where the relation power between every attribute item and the targeted class is computed in every assumption, then the set of training data is classified based on the output results.
One of the primary pillars in the rule generation step is that whenever Prism detects two equal strength values, Prism selects one value only and drops the other to the next iteration of computations and filtering.
However, observations and experiments over more than one data set proved that in each time the other equal value is always chosen in the next iteration, this is obviously unneeded system overhead.
In this thesis, we aim to remove this redundancy in rule generation phase by presenting the enhanced prism (E-Prism) algorithm.
Another insufficiency in this algorithm is that it deals with only categorical attributes, some discretization methods where previously used with Prism, but the problem with these techniques is their large calculation complexity compared to other discretization methods.
This thesis aims overcome this problem by using discretization methods with small complexity as a pre-processing phase allowing Prism to deal with continuous attributes.
التخصصات الرئيسية
الموضوعات
عدد الصفحات
50
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background-related work.
Chapter Three : Approach.
Chapter Four : Implementation details and features.
Chapter Five : Results and evaluation.
Chapter Six : Conclusions and future works.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hammadi, Muhammad Yasin. (2014). Reducing rule generation complexity in the prism algorithm. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-546248
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hammadi, Muhammad Yasin. Reducing rule generation complexity in the prism algorithm. (Master's theses Theses and Dissertations Master). Philadelphia University. (2014).
https://search.emarefa.net/detail/BIM-546248
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hammadi, Muhammad Yasin. (2014). Reducing rule generation complexity in the prism algorithm. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-546248
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-546248
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