Detection of hostile content from social media posts ( Facebook TM , Twitter etc.) is a demanding task in the field Natural Language Processing (NLP). Daily growing nature different electronic opened up new challenges language understanding. It becomes more difficult regional languages. AI-based solution required to identify on large scale. Though satisfactory amount researches has been carried...

Classifier ensemble techniques are effectively used to combine the responses provided by a set of classifiers. Classifier ensembles improve the performance of single classifier systems, even if a large number of classifiers is often required. This implies large memory requirements and slow speeds of classification, making their use critical in some applications. This problem can be reduced by s...

This paper presents a classifier ensemble approach for predicting the survivability of the breast cancer patients using the latest database version of the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute. The system consists of two main components; features selection and classifier ensemble components. The features selection component divides the featu...

In this paper, a novel method is proposed to build an ensemble of classifiers by using a feature selection schema. The feature selection schema identifies the best feature sets that affect the arrhythmia classification. Firstly, a number of feature subsets are extracted by applying the feature selection schema to the original dataset. Then classification models are built by using the each featu...

Ensemble has been proved a successful approach for enhancing the performance of a single classifier. But there are two key factors directly influencing the outcomes of an ensemble: accuracy of each single member and diversity between the members. There have been many approaches used in the literature to create the mentioned diversity. In this paper, we add to them a novel approach, in which cla...

Arabic handwriting word recognition is a challenging problem due to Arabic’s connected letter forms, consonantal diacritics and rich morphology. One way to improve the recognition rates classification task is to improve the accuracy of individual classifiers; another, is to apply ensemble of classifiers methods. To select the best classifier set from a pool of classifiers, the classifier divers...