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International Journal of Hidden Data Mining and Scientific Knowledge Discovery

Pr. Halim Sayoud

Welcome to the first issue of the International Journal of Hidden Data Mining and Scientific Knowledge Discovery: http://scholarpage.org/journal

We decided to use the following acronym HDSKD for the journal. Hidden data represents data or information that is more or less hidden, unseen or encrypted so that it becomes difficult to extract it. Scientific knowledge represents every information that comes by a scientific way, such as theories, experimental observations or scientific evidences of some phenomenon. The last term in the journal title, namely "Discovery" has a great importance, since it means that we are looking for scientific information particularly and hidden data in general.
Authors are encouraged to submit their latest research results to the HDSKD journal Hence, we are proud to announce the opening of our first journal issue in hidden data mining and scientific knowledge discovery (a peer reviewed journal) and encourage authors to submit their latest research results to HDSKD.
The criteria of selection are based on the review decision, which will lead to the acceptance or reject of the paper.
The readers’ comments are also welcome and everyone is invited to read or download the papers for a scientific or academic purposes. The journal is a non-profit academic source of knowledge and does not permit any commercial use of the articles.


The Editorial Board

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