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World Health Organization recognized COVID‐19 as a pandemic on March 11, 2020. A total of 213 countries and territories around the world have reported a total of 27,948,441 confirmed cases as on September 9, 2020. This article adopted two non‐linear growth models (Gompertz, Verhulst) and exponential model (SIR) to analyse the coronavirus pandemic across the world. All the models have been used for...
With the evolution of web technology, there is a huge amount of data present in the web for the internet users. These users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Due to overwhelming amount of user's opinions, views, feedback and suggestions available through the web resources, it's very much essential to explore,...
On the Internet, where the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload, which has created a potential problem to many Internet users. Recommender systems solve this problem by searching through large volume of dynamically generated information to provide users with personalized...
In a traditional social network, users are concerned with finding people who share similar interests. In a patient centric social network, the user is a patient who is concerned about finding other patients who are having similar conditions or symptoms. A patient centric social network serves the purpose of a Health Recommender System wherein the system recommends similar patients, caregivers to its...
In last two decades several educational institutes have started gaining momentum while many of them are in self financing mode. Every institute wants to have good student strength to allow a smooth academic session. This paper proposes the use of machine learning techniques in educational domain to enhance the quality of student admissions in any higher educational institute. The focus of this paper...
Data mining based classification is one of the important role in the field of healthcare. Diagnosis of health conditions is a very important and challenging task in field of medical science. There are various types of diseases are diagnosis in medical science. Thyroid disease is one of critical diseases that is very serious problem and affected the health of human being. Thyroid decease classification...
Secret communication techniques, like camouflaging in living species, exist since a long time. Living species depend upon their deception skills for survival. Similarly, data encryption and data hiding techniques are used to protect the secrecy of confidential information. This paper suggests a novel set of elliptic curve based unimodular maps for image encryption and a selective bit replacement algorithm...
The objective of this paper is to present a review literature on what are impacts of Data Mining (DM) in Business Intelligence (BI). The paper highlights various features of DM. It involves three steps: explorations, pattern identification and deployment. BI is the hot topic among all industries aiming for relevance. BI emphasizes on detail integration and or organizing of data. DM and BI work together...
In the present scenario, large quantity of data is generated in the field of medicine. This data contain valuable information which can be utilized in decision making. Machine learning is an active area which may be useful to healthcare experts. Hepatitis disease is a common disease in the world, which may cause damage to hepatocytes. Machine learning techniques can be implemented to reduce the risk...
The rapid growth of computers transformed the way in which information and data was stored. With this new paradigm of data access, comes the threat of this information being exposed to unauthorized and unintended users. Many systems have been developed which scrutinize the data for a deviation from the normal behavior of a user or system, or search for a known signature within the data. These systems...
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