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Gradient Boosting Machine and Deep Learning Approach in Big Data Analysis
Designing a system for analytics of high-frequency data (Big data) is a very challenging and crucial task in data science. Big data analytics involves the development of an efficient machine learning algorithm and big data...
Published by: IGI Global
An Ensemble of Random Forest Gradient Boosting Machine and Deep Learning Methods for Stock Price Prediction
Stochastic time series analysis of high-frequency stock market data is a very challenging task for the analysts due to the lack availability of efficient tool and techniques for big data analytics. This has opened the door of...
Published by: IGI Global
Barriers Related to AI Implementation in Supply Chain Management
Monika Shrivastav
Sep 01, 2021
The primary objective of this paper is to offer a structured and comprehensive list of the barriers associated with implementation of Artificial Intelligence (AI) solutions in Supply Chain Management (SCM). While the broader...
Published by: IGI Global
The Impact of Socio-Economic and Psychographic Factors on Financial Inclusion
Financial inclusion is a crucial factor in mainstreaming the low-income population with the formal financial system. It provides access to credit and provides a broad range of financial services. However, factors like...
Published by: IGI Global
Phish-Shelter
Phishing attack is a deceitful attempt to steal the confidential data such as credit card information, and account passwords. In this paper, Phish-Shelter, a novel anti-phishing browser is developed, which analyzes the URL and...
Published by: IGI Global