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Prediction of Student's Performance Using Modified KNN Classifiers
(University of Palestine, 2018)
The Educational field research using Data Mining techniques increased rapidly. The aim of Data Mining on Educational data is to discover the hidden patterns and knowledge about student's performance. This study focus on ...
Improving Premium Domain Names Registration for .PS Domain Cctld Basing on Knowledge Discovery and Data Mining Techniques
(الجامعة الإسلامية - غزة, 2017)
Country code top-level domain represents the identity of its own country. About ten million Palestinians spread in the world belong or affiliate to the domain name (.PS), for which it represents their identity although ...
Predicting user entries by using data mining algorithms
(IEEE, 2017)
The information systems are widely spread in most official institutions, and become certified in all areas of our life such as education, health and entertainment. Usability is one of the most important factors, which ...
Malware Detection Based on Permissions on Android Platform Using Data Mining
(الجامعة الإسلامية - غزة, 2016)
Due to the weak policy of submitting application to Google Play store, attackers developed malware to attack the users of the Android operating system with malware application or by including malicious code into applications. ...
Automated recognition of urinary microscopic solid particles
(Taylor & Francis, 2014)
Urine analysis reveals the presence of many problems and diseases in the human body. Manual microscopic urine analysis is time-consuming, subjective to human observation and causes mistakes. Computer aided automatic ...
Arabic text author identification using support vector machines
(2014)
A model for Arabic text author identification is proposed. It classifies a set of Arabic text documents with unknown authorship by capturing the style of each author through features extracted from the text. The identification ...
Classifying Muti-Class Imbalance Data
(2013)
Class imbalance is one of the challenging problems for data mining and machine learning techniques. The data in real-world applications often has imbalanced class distribution. That is occur when most examples are belong ...
Distributed Data Mining On Grid Environment
(2012)
Data mining tasks considered a very complex business problem. In this research, we study the enhancement in the speedup of executing data mining tasks on a grid environment. Experiments were performed by running two main ...
Implementation of data mining techniques for meteorological data analysis
(2011)
Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. Weather ...
Data Mining Techniques for Wind Speed Analysis
(2011)
Weather Data Mining is a form of Data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. In this paper ...