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Institution

Zarqa Private University

EducationZarqa, Jordan
About: Zarqa Private University is a education organization based out in Zarqa, Jordan. It is known for research contribution in the topics: Business & The Internet. The organization has 281 authors who have published 545 publications receiving 5905 citations.


Papers
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Journal ArticleDOI
TL;DR: A novel feature selection method, namely,feature selection method using the particle swarm optimization (PSO) algorithm (FSPSOTC) to solve the feature selection problem by creating a new subset of informative text features that can improve the performance of the text clustering technique and reduce the computational time.

401 citations

Journal ArticleDOI
TL;DR: The results proved that the proposed improved krill herd algorithm with hybrid function achieved almost all the best results for all datasets in comparison with the other comparative algorithms.
Abstract: In this paper, a novel text clustering method, improved krill herd algorithm with a hybrid function, called MMKHA, is proposed as an efficient clustering way to obtain promising and precise results in this domain. Krill herd is a new swarm-based optimization algorithm that imitates the behavior of a group of live krill. The potential of this algorithm is high because it performs better than other optimization methods; it balances the process of exploration and exploitation by complementing the strength of local nearby searching and global wide-range searching. Text clustering is the process of grouping significant amounts of text documents into coherent clusters in which documents in the same cluster are relevant. For the purpose of the experiments, six versions are thoroughly investigated to determine the best version for solving the text clustering. Eight benchmark text datasets are used for the evaluation process available at the Laboratory of Computational Intelligence (LABIC). Seven evaluation measures are utilized to validate the proposed algorithms, namely, ASDC, accuracy, precision, recall, F-measure, purity, and entropy. The proposed algorithms are compared with the other successful algorithms published in the literature. The results proved that the proposed improved krill herd algorithm with hybrid function achieved almost all the best results for all datasets in comparison with the other comparative algorithms.

301 citations

Journal ArticleDOI
TL;DR: In this article, the authors used Colaizzi's (1978) strategy of descriptive phenomenological data analysis in a nursing research to elicit an exhaustive description about adolescents' experience after receiving chemotherapy and their coping strategies used to accommodate with physical changes occurred after that therapy.
Abstract: Background: Phenomenology is a philosophy and a research method designed to explore and understand people's everyday lived experiences. Aim: This paper aims to convey the experience of using Colaizzi's (1978) strategy of descriptive phenomenological data analysis in a nursing research. Method: Using a real research example, the process of Colaizzi was used to provide assistance in extracting, organizing, and analyzing such narrative dataset. Results: the eventual outcome sought from applying Colaizzi's strategy in descriptive phenomenology was to elicit an exhaustive description about the phenomenon regarding adolescents' experience after receiving chemotherapy and their coping strategies used to accommodate with physical changes occurred after that therapy. A number of significant statements and theme clusters were integrated to formulate the overall themes which describe the phenomenon thoroughly. Conclusion, the use of Colaizzi's strategy in descriptive phenomenology was successfully evident in this research. Researchers are encouraged to emphasize on enhancing rigor to the study findings through employing different trustworthiness elements throughout their research process.

276 citations

Journal ArticleDOI
TL;DR: A combination of objective functions and hybrid KH algorithm, called, MHKHA, is proposed to solve the text document clustering problem and obtained the best results for all evaluation measures and datasets used among all the clustering algorithms tested.

222 citations

Journal ArticleDOI
TL;DR: The experiments reveal that the proposed hybrid KHA with HS algorithm (H-KHA) is superior or at least highly competitive with the original KH algorithm, well-known clustering techniques and other comparative optimization algorithms.

200 citations


Authors
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202238
202172
202066
201962
201846