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Focused crawling is a mean for acquiring raw big data materials from the web. This paper proposes a focused crawler for discovering Arabic poetry resources based on the Apache Nutch crawler. The crawler identifies poetry relevant resources using an SVM classifier and a list of Arabic poetry related keywords. The
efficiency problems. Users preferences are almost ignored. So, the requirement of robust recommendation system is enhanced now a days. In this paper, we present review based service recommendation to dynamically recommend services to the users. Keywords are extracted from passive users reviews and a rating value is given to
The results of Text Big Data Analytics Study «Third Wave» is presented. The Study is provided by Dell EMC External Research and Academic Alliances in Russia. Counted keywords are investigated in terms of Glocalization (Globalization plus Localization) issues. The findings include: Glocalization picture
parse to the filtering engine for filtering and cleaning the data sources using suitable keywords prior to store it in the large data repository. After that, the large data will be processed and analyzed using algorithm or mathematical calculation to determine the expected dengue cases. Then, the processed information will
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.