https://ojs.wiserpub.com/index.php/CCDS <p><strong><em>Cloud Computing and Data Science</em></strong> (CCDS) is an internationally reputed, open-access and refereed journal which highlights and publishes research findings on theory, designs and applications in cloud computing and data science. The topics of strong interest to our readership span the exploration of established and rapidly emerging topics, which include but are not limited to: green cloud computing, edge computing, big data, data mining, <a href="http://ojs.wiserpub.com/index.php/CCDS/about"><u>click here to see more...</u></a></p> <p>Emphasis on novel research related to practical experience and application in these areas should be an essential aspect of contributions, rather than addressing theoretical aspects. High-quality original research paper, authoritative research review and short communications are mainly welcomed, and survey papers that offer up new insights and lay the foundations for further exploratory and experimental work are also accepted.</p> Universal Wiser Publiser en-US Cloud Computing and Data Science 2737-4106 https://ojs.wiserpub.com/index.php/CCDS/article/view/4059 <p>The coronavirus disease 2019 outbreak has added to the development of novel methods to study the epidemiological and predictive nature of the pandemic. Mining such data is necessary as this data is full of trends and information. Using data mining techniques allows us to extract and process such data to predict the pandemic’s trends and behavior. Analysis, evaluation, and prediction are performed on Jammu and Kashmir’s data during the period 09<em>^th</em> of March 2020 to 10^<em>th</em> of February 2021. The work is done on the dataset of patients provided by the Department of Information and Public Relations, Government of Jammu and Kashmir. Various mathematical models and techniques were used to predict the Virus spread and occurrence with the help of symptoms. We aim to propose a model to predict the virus occurrence based on the symptoms and epidemiological nature of the pandemic. The purpose of this study is to understand the virus occurrence and distribution. The work has helped our government to find the most infected areas and future challenges to tackle any such pandemic. The trends and behavior of the virus in Jammu and Kashmir were studied. People under observation, people tested for the virus, positive, negative, recovered, active, and deaths were keenly observed. The prediction to find an infected patient was carried out with the help of symptoms. The results obtained from the prediction model are verified with the actual results.</p> Kalimullah Lone Shabir Ahmad Sofi Copyright (c) 2024 Kalimullah Lone, Shabir Ahmad Sofi https://creativecommons.org/licenses/by/4.0 2024-03-07 2024-03-07 183 202 10.37256/ccds.5220244059