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implementation and analysis of credit card fraud detection using a Machine Learning Technique

Due to rapid growth in the field of various cashless transactions or digital transactions, credit cards are widely used in almost every work and hence there are more chances of fraudulent transactions. Depending on the type of fraud faced by banks or credit card companies, various measures can be adopted and implemented. Here the credit card fraud detection is based on fraudulent transactions. Generally, credit card fraud activities can happen both offline and online. But in today’s world online fraud transaction activities are increasing day by day. So in order to find online fraud transactions, various methods have been proposed and implemented by various organizations. This project proposes a machine learning technique for credit card fraud detection. Machine learning is the currently used technique implemented in various sectors. It is prioritized due to its ongoing advancements making our lives easier. In the proposed system, we use Random Forest Algorithm (RFA) for finding the fraudulent transactions and the accuracy of the transactions. The main aim is to detect fraud while making a transaction and alert the user if his/her account was accessed by an intruder. Credit card fraud detection using Machine learning is done by using classification and regression techniques. We use the Random Forest algorithm which is a supervised learning algorithm to classify the fraud card transaction into fraud or genuine transactions. This algorithm uses decision trees for classifying the data set. After classifying the dataset a confusion matrix is obtained. The performance of the Random Forest Algorithm is evaluated based on the confusion matrix. The results obtained from the processing data set to give an accuracy of about 70%. The random forest has better efficiency and accuracy than any other machine learning algorithm. This model is implemented by Python and SQL programming languages.

Published by: Sanka Reshmi, Saripalli V. R .Manasa, Siramdas Shyamala, Sreerama Usha Ramya, B. Esther Sunanda, D. Sowjanya

Author: Sanka Reshmi

Paper ID: V7I4-1432

Paper Status: published

Published: July 19, 2021

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Thesis

Objectual understanding of moments of earth and relevant systems

This research relating to the effects of the universal system on the environment and living beings in the course of time intervals and understanding the survival systems and practical observation.

Published by: Yalla Venkata Chalapathi Rao

Author: Yalla Venkata Chalapathi Rao

Paper ID: V7I4-1401

Paper Status: published

Published: July 19, 2021

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Research Paper

Forecasting of the cotton price using an econometric model

A commodity market is a place for investors to trade in commodities like precious metals, crude oil, natural gas, energy, and spices, among others. Currently, the Forward Markets Commission allows futures trading in India for around 120 commodities. Trading in commodities is great for investors seeking to diversify their portfolio, as these investments often help with inflation. The Indian commodity derivatives market has shown solid flexibility to the Covid-19 pandemic, recovering rapidly from the underlying stock following the nation-wide complete lockdown. This study examines the market fundamentals, contract specification and market and price behaviour is the supreme problem of commodity investors and trader. The present study spotlights the price behaviour/movement and market behaviour/volatile in Indian agricultural commodity market (MCX) using econometric model. The study aims at market fundamentals of the commodity which includes demand, supply, import and export and changes in contract specification. The study also aims to study the volatility and caused effect between futures price and spot price of commodity cotton from the period 2019 to 2020 daily data were collected from Multi Commodity Exchange (MCX). This study also analysed the correlation and co-integration between the spot price and futures price of commodity cotton in Multi Commodity Exchange (MCX). The study employed statistics tools such as descriptive statistics, unit root test (ADF test), correlation test, OLS regression test, co-integration test, granger causality test, GRACH Test and ARIMA. The study found that the existence of normality and absence of unit root in time series data, also risk was higher than the mean return of futures and spot price of commodity cotton. There was low positive correlation between futures price and spot price of commodity cotton. In co-integration between spot and future price of commodity cotton explains that there is a long run relationship and both the prices are interconnected. The GARCH test evidenced that low volatility secured both futures price and spot price of commodity cotton and absence of cause and effect during the study period. The investors have to consider the high volatility commodity futures price which make effective in trading and investments in the aspect of price discovery. The result replicates that each commodity traded or invested in exchange has different price effectiveness concept and the investors and trader should recognise the commodity to hedge price risk. The last step that is ARIMA examines that the best criteria to forecast the cotton future price is ARIMA(0,1)(0,0).

Published by: Prapulla S., R. Sushma, Madhusudhan K.

Author: Prapulla S.

Paper ID: V7I4-1386

Paper Status: published

Published: July 19, 2021

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Research Paper

Solar Energy for Refrigeration and Air Conditioning

In today’s world, the demand for comfort has been growing at an exponential rate. The utilization of air-conditioning and refrigeration systems has increased, which results in higher costs and consumption of energy. It is one of the main constituents of Global Warming. For example, Indian market of air conditioners was of worth $4.3 billion in 2017and will be of $11 billion by 2023 with a mean growth of 17% per annum.[2] Consequently, India produced roughly 2.5 billion tonnes CO2 within the year 2018. As a result a substitute for conventional method of air conditioning is being searched. Use of solar energy in air conditioning and refrigeration can be a substitute. It help in reduction of the consumption, the demand, and therefore costs of energy, without decreasing the desired comfort. These systems help in air conditioning and may even be used for refrigeration purposes. The can easily be used in commercial and residential apartments, colleges, hospitals, hotels etc. In this paper we will discuss the functioning of these systems and future scope of solar power in air conditioning and refrigeration.

Published by: Vishal Pathak, Shivraj, J. P. Kesari

Author: Vishal Pathak

Paper ID: V7I4-1375

Paper Status: published

Published: July 19, 2021

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Research Paper

Comparative Study of IS 1893:2002 & 2016 for G+12 Staff Quarter Residential Building

IS1893 gives guidelines for designing seismic resistant structures. Significant enhancements in seismic resistant design has been seen in recent years. Hence, after a gap of 14 years, Indian seismic code IS: 1893 has been revised in year of 2016. The purpose behind presenting this project is to gain relevant Indian standard codes knowledge that has been used for design of various buildings component such as beam, column, slab, and foundation and stair case using the software Etabs under the earthquake load and wind load acting on the structure

Published by: Rohit Kokane, Prof. P. B. Autade

Author: Rohit Kokane

Paper ID: V7I4-1426

Paper Status: published

Published: July 18, 2021

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Research Paper

An overview on bio battery unveiling potential

In the modern age there are so many power sources but one of the more efficient power sources in our Villages are the Bio-Battery, which is an alternate sources of energy. using wastewater- which is a major problem in rural India, Handy source of power generation. Further we can stored energy in the form of Carbohydrates, found in the waste biomass ,contains Microbial Fuel Cells. We can produce electricity in an MFC (Microbial Fuel Cells ) from domestic wastewater and at the same time accomplish biological wastewater treatment. So Bioreactors based on power generation in MFCs are a new approach to waste treatment and power generation.

Published by: Subhash Kumar Sharma, Sushil Kumar Singh

Author: Subhash Kumar Sharma

Paper ID: V7I4-1369

Paper Status: published

Published: July 18, 2021

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