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Estimating Meteorological Data using Web Scraping

عنوان مقاله: Estimating Meteorological Data using Web Scraping
شناسه ملی مقاله: ICIORS12_239
منتشر شده در دوازدهمین کنفرانس بین المللی انجمن ایرانی تحقیق در عملیات در سال 1398
مشخصات نویسندگان مقاله:

Ana Ebrahimi - Department of Computer Engineering, Karaj Branch, Islamic Azad University, karaj, iran
Hadi Saboohi - Department of Computer Engineering, Karaj Branch, Islamic Azad University, karaj, iran

خلاصه مقاله:
Web space is full of structured and unstructured data. One of the main applications of the Web is collecting data from Web sites and their pages and organizing and the storing them in the form of tables for various purposes. Extracting data from Web pages is conducted through Web scraping tools. After extracting data from these pages, they are cleaned and non-relevant items are eliminated.Finally, the data on the Web pages that are appropriate for automatic analyzing take the form of data sets and go through data miningprocesses. In this study we scraped weather data predictions as well as actual data of four popular weather web sites and analyzed the data in several ways.

کلمات کلیدی:
Web Scraping, Information Retrieval, Climate prediction.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/923698/