| LEADER |
02672nam a22002417a 4500 |
| 001 |
1717282 |
| 024 |
|
|
|3 10.33948/0584-031-001-001
|
| 041 |
|
|
|a eng
|
| 044 |
|
|
|b السعودية
|
| 100 |
|
|
|9 524792
|a Alghamdi, Hanan M.
|e Author
|
| 245 |
|
|
|a Arabic Web Page Clustering: A Review
|
| 260 |
|
|
|b جامعة الملك سعود
|c 2019
|
| 300 |
|
|
|a 1 - 14
|
| 336 |
|
|
|a بحوث ومقالات
|b Article
|
| 520 |
|
|
|b Clustering is the method employed to group Web pages containing related information into clusters, which facilitates the allocation of relevant information. Clustering performance is mostly dependent on the text features’ characteristics. The Arabic language has a complex morphology and is highly inflected. Thus, selecting appropriate features affects clustering performance positively. Many studies have addressed the clustering problem in Web pages with Arabic content. There are three main challenges in applying text clustering to Arabic Web page content. The first challenge concerns difficulty with identifying significant term features to represent original content by considering the hidden knowledge. The second challenge is related to reducing data dimensionality without losing essential information. The third challenge regards how to design a suitable model for clustering Arabic text that is capable of improving clustering performance. This paper presents an overview of existing Arabic Web page clustering methods, with the goals of clarifying existing problems and examining feature selection and reduction techniques for solving clustering difficulties. In line with the objectives and scope of this study, the present research is a joint effort to improve feature selection and victimization frameworks in order to enhance current text analysis techniques that can be applied to Arabic Web pages. © 2017 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
|
| 653 |
|
|
|a تكنولوجيا المعلومات
|a صفحات الويب
|a اللغة العربية
|
| 692 |
|
|
|b Feature Selection
|b Feature Reduction
|b K-Means
|b Review
|b Text Clustering
|a Arabic Web Page
|
| 700 |
|
|
|9 524794
|a Selamat, Ali
|e Co-Author
|
| 773 |
|
|
|c 001
|e Journal of King Saud University (Computer and Information Sciences)
|f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat
|l 001
|m مج31, ع1
|o 0584
|s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
|v 031
|x 1319-1578
|
| 856 |
|
|
|u 0584-031-001-001.pdf
|
| 930 |
|
|
|d y
|p y
|
| 995 |
|
|
|a science
|
| 999 |
|
|
|c 974516
|d 974516
|
