International Journals
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Item RUSSIAN WOMEN’S AFFECTED BY NON COMMUNICABLE DISEASES(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; R, SaliniThe Russian Federation has experienced some of the most dramatic population declines in the world country wide health reforms have been implemented, although they continue to ignore the impact of epidemic of Non-Communicable disease (NCD’S), in the Russian FederationItem BURDEN OF NON-COMMUNICABLE DISEASES AND CARDIO-VASCULAR DISEASES IN INDIA(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; S, SwashikhaNon-communicable disease continues to be a major public health problem in India. The analysis of non-communicable disease in India and monitoring is an important for the country to reduce the spreading of non-communicable disease and cardio vascular disease in India and it is used to improve the lifestyle of the people. The burden of non-communicable disease in India is taken for study based on disease and the ages of people affected by the disease. Here the non-communicable disease that is affected mostly in India and to analyse the age group that is mostly affected by cardio vascular disease in India. This study is mainly done by means of descriptive statistics in Univariate analysis.Item TEMPERATURE AND TIME SERIES ANALYSIS USING K-MEANS CLUSTERING(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; D, SowndhariyaThis paper analyses the nature of the monthly maximum and minimum temperature in the Sao paulo station the temperatures recorded at division between 1979 and 2019. Sao paulo in the Southeast Region of Brazil. Analysing temperature on the monthly base January to December and quarterly base December, January and February, March to May, June to August, September to November to find out temperature status weather they have increased or decreased from month to month. the temperature and time series affect the people’s life cycle. The analysis the temperature and time series analysis at sao Paulo station using K-Means clustering analyse.Item TEMPERATURE AND TIME SERIES ANALYSIS(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; P, RashmiClimate change is one of the biggest environmental problems for many countries. It is also a big threat to food, production, water sources, forest and living environment. It results in climatic changes. More change in climate is being done on climate indices such as rainfall, temperature and so on. Auto Regressive Integrated Moving Average models have been grouped and used to perform short-term predictions on maximum and minimum temperatures. This study aims to find the temperature and time series in Curitiba.Item EMPLOYEE PERCEPTION ANALYSIS USING DENSITY BASED CLUSTERING(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; S P, PriynkaThis analysis is based upon the employees’ perception about the various companies in America. These companies provide various benefits to its employees such as life insurance, child care facility, children education allowance etc. Based on that, they are ranked from 1- 7. The count of employees is based upon the factors such as CSR activities and year of existence of the companies. Some employees may choose their company based upon their year of existence. But some may choose their companies based upon their responsibility towards employees. This analysis is made to find the most reliable factor. This paper also analyzes the CSR activity and business model of the company in order to find which business model provides best CSR activities to their employees.Item STUDENTS PERFORMANCE ANALYZATION USING K-MEANS CLUSTERING(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; S, MadhumithaThe process of clustering means that the grouping of items which are of similar characteristics into subsets in which each of them would have varied characteristics. Few of the problems faced by an educational institution are the impact of parent’s education on the child, and the management of extra – curricular activities with academics and that’s where an analysis on students performance using clustering methods were done. It is widely used for large volume of data. K-means is the algorithm which is going to be used in this paper, it is an analysis which makes clusters based on the k – centroid. It is useful in analyzing all the three questions given above.Item RETAIL INDUSTRY ANLYSIS(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; S, Kaveena SreeniThis analysis helps to monitor the retail sales of shoes and apparels in 2002 and 2012.In this paper you’ll notice the variance recorded in that particular industry during the course of the period of 10 years. Retail industry is a vast one and this paper records analysis of apparel and shoes industry that covers the ten years CGR and share of increase.Item SYSTEM FOR INVENTORY CONTROL AND MANAGEMENT OF BAKERY PRODUCT USING SVM(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; M, KarthikaThe study entitled on, “To build a classification model for inventory control and management of bakery product”. Business process is dynamic respect to time, place, product & seasons. Understanding the trend and changes of pattern becomes important to consider in making business decisions. Data mining techniques are extensively applied for classification, useful patterns extraction and predications which are very important for business support and decision making. Patterns from inventory data indicate market trends and can be used in prediction that helps in decision making and planning. The objective of this study is to manage inventory of Zplus company, a bakery manufacturer who supplies bakery products fresh on daily basis. The daily production volume depends on various factors including external and internal factors. Considering only the internal factor, prediction of daily production volume helps in inventory control, and avoids stagnation of products. Based on the patterns and trends in the data, each order is predicted to include in the manufacturing based on the priority. A prediction technique is applied using SVM to predict the priority of each order so that the orders can be manufactured in accordance with the sales requirement which eliminate stagnation of products and offer better control over inventories.Item STUDENT'S PERFORMANCE ANALYSIS USING SIMPLE K-MEANS(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; P, JoshikaHealth affects the studies of students directly. If they are sick, they will lack concentration in studies and if they are not, it will never affect their studies. Clustering means a collection of data objects that are similar to one another with in the equal cluster and are dissimilar to the objects in other clusters .In k-means, individual cluster is represented by its mid-point or mean which is also termed as the centroid and is calculated as mean value of the data within that cluster. Here, simple k – means of clustering is used to identify the effect of sickness in studies of the studentsItem LUNG CANCER DATA ANALYSIS IN INDIA BY USING SIMPLE K-MEANS(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; M, JayasriOne of the most common and main cause of cancer death in lung cancer. The intention of this research work is focused on the ethical cluster creation of lung cancer data analysis the performance of dividing up build algorithm. Most of the research analyzed the lung cancer dataset using algorithms to cover the cluster among the small cell or non-small cell lung cancer in different stages lung cancer has been set up to be second commonest cancer according to a hospital-based data from India lung cancer is a main reason of the years of life lost because of cancer and is connected with the highest economic burden comparative to other tumor types.