Browsing by Subject "Machine learning"
Now showing items 1-20 of 39
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Anti-money laundering detection and customer segmentation
(Dublin Business School, 2020)In this project we going to cover best practices of the anti-money laundering techniques and methods, such a customer segmentation based on suspicious behaviour and fraud detection machine learning algorithms. The goal of ... -
Applications of data mining techniques for churn prediction and cross-selling in the telecommunications industry
(Dublin Business School, 2019)Customer Churn is a critical point of concern for organizations in the telecommunications industry. It is estimated that this industry has an approximate annual churn rate of 30% leading to a huge loss of revenue for ... -
Comparative analysis of machine learning algorithms for detection of fast radio bursts
(Dublin Business School, 2020)Fast radio bursts are a new astronomical phenomenon that have scientists baffled. To detect and analyse these FRBs, upcoming radio telescopes will capture tremendous amount of data. At the scales of these new telescopes, ... -
A comparative study of machine learning models for fundraising success
(Dublin Business School, 2020)Non-Profit organizations play a vital role in mitigating the plights of society by providing nec-essary services. However, to accomplish their goals they need an ongoing infusion of funds. Prospective donor identification ... -
Comparison of machine learning V/S deep learning model to predict ICD9 code using text mining techniques
(Dublin Business School, 2021)Healthcare information is usually collected and stored in form of numbers, texts or images. This data consists of important details such as their visits, symptoms, prescriptions, notes or vital statistics of the patients. ... -
A context-aware personalized recommender system for automation in IoT based smart home environment
(Dublin Business School, 2020)An IoT enabled smart-home fulfils many needs of the inhabitants such as providing conveniences through personalised home automation, saving energy through optimizations, etc., based mostly on the user’s behaviour and ... -
Decision support system for a restaurant to forecast sales using machine learning techniques
(Dublin Business School, 2020)Restaurant being a customer centric business faces a lot of challenge in day-to-day operation between inventory management, staffing, and customer handling. Any mismanagement could be unhealthy in its business long-term. ... -
Demand forecasting using statistical and machine learning algorithms
(Dublin Business School, 2019)This research titled “Demand forecasting using statistical and machine learning algorithms” aims to compare the performance of traditional statistical and machine learning algorithms to forecast the demand for 50 products. ... -
Design and implementation of the house recommendation system using content-based filtering
(Dublin Business School, 2019)The internet has become a significant transaction platform for the real estate industry. While it does urge users to search extensively for properties, it also wastes time, energy and may not provide relevant results. ... -
Diagnosing heart problem using machine learning
(Dublin Business School, 2020)The main part of the metabolism in the case of the human body is the requirement of the oxygenated blood so that the process can be complete. In the result of the metabolism, the wastes and the deoxygenated blood needs to ... -
Diet analysis of diabetes using machine learning
(Dublin Business School, 2021)The latest advancement in health sciences have prompted a need for creation of data, for example, health treatment information, produced in large volumes of health records. Machine learning techniques seems to be increasing ... -
Ensemble modeling & prediction interpretability for insurance fraud claims classification
(Dublin Business School, 2019)The insurance fraud claims classification using Ensemble modeling is explained in this research paper. Using the pattern found in the data, Machine learning algorithms were able to find the fraud claims efficiently. The ... -
An exploration of how artificial intelligence is impacting recruitment and selection process
(Dublin Business School, 2019)Globalization, information technology and recent social trends, have added more pressure on organizations to redefine themselves and update. There has been an increasing trend of adopting Artificial Intelligence (AI) ... -
Exploring the relationship between Irish Times headlines and Irish Times stock exchange
(Dublin Business School, 2020)This research studies the effect of headline risk on Irish Stock Market using Irish Times headlines. For doing the same, it scrapes headlines from Irish times for "Bank of Ireland," one of the oldest stocks in ISE, and ... -
Exploring trends and factors in the world happiness report
(Dublin Business School, 2020)The World Happiness report, first published in 2012, ranks countries on the basis of their self-reported happiness levels. The report is released each year on World Happiness Day March 20th. Its goal is to underpin the ... -
Forecasting and analysis of COVID-19 pandemic
(Dublin Business School, 2020)Coronaviruses are a group of viruses that cause various diseases in mammals and birds. In humans, they cause a range of respiratory disorders. This paper presents the analysis of the transmission of COVID19 disease and ... -
Future job prediction in Trivandrum using machine learning techniques
(Dublin Business School, 2018)This dissertation explores the impact of machine learning on job aspirants through an interactive web application. Job seeking is a very difficult task in India and determining a career path is a much more difficult ... -
Future sales prediction of OnePlus using Amazon review’s data
(Dublin Business School, 2018)In this research, we predicted sales of OnePlus cell phone models using Amazon reviews information extracted from Amazon.in. Starting with extraction, classifying and then cleaning of data, particularly it’s showed that ... -
Game bot detection using behavioral analysis
(Dublin Business School, 2020)Online games and especially MMORPGs have become very popular and people are investing and spending thousands of dollars on such games. Enhancing the user-experience has become a challenge for companies as gaming bots have ... -
Improving employee retention by predicting employee attrition using machine learning techniques
(Dublin Business School, 2018)This Dissertation aims to help the HR and Project Managers in improving the retention rate of the valuable employees in an organization, thereby minimizing the employee turnover cost of the company. The research was carried ...