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Articles 1 - 6 of 6
Full-Text Articles in Business
The Evolution Of The Internet And Social Media: A Literature Review, Charles Alves De Castro, Isobel O'Reilly Dr, Aiden Carthy
The Evolution Of The Internet And Social Media: A Literature Review, Charles Alves De Castro, Isobel O'Reilly Dr, Aiden Carthy
Articles
This article reviews and analyses factors impacting the evolution of the internet, the web, and social media channels, charting historic trends and highlight recent technological developments. The review comprised a deep search using electronic journal databases. Articles were chosen according to specific criteria with a group of 34 papers and books selected for complete reading and deep analysis. The 34 elements were analysed and processed using NVIVO 12 Pro, enabling the creation of dimensions and categories, codes and nodes, identifying the most frequent words, cluster analysis of the terms, and creating a word cloud based on each word's frequency. The …
Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef
Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef
Theses and Dissertations
Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock price …
Stock Markets Performance During A Pandemic: How Contagious Is Covid-19?, Yara Abushahba
Stock Markets Performance During A Pandemic: How Contagious Is Covid-19?, Yara Abushahba
Theses and Dissertations
Background and Motivation: The coronavirus (“COVID-19”) pandemic, the subsequent policies and lockdowns have unarguably led to an unprecedented fluid circumstance worldwide. The panic and fluctuations in the stock markets were unparalleled. It is inarguable that real-time availability of news and social media platforms like Twitter played a vital role in driving the investors’ sentiment during such global shock.
Purpose:The purpose of this thesis is to study how the investor sentiment in relation to COVID-19 pandemic influenced stock markets globally and how stock markets globally are integrated and contagious. We analyze COVID-19 sentiment through the Twitter posts and investigate its …
Mobile Application Development For University Library Services (Case Study: Library Of Uin Sunan Ampel Surabaya), Heri Cahyo Bagus, Firza Hardy Nugraha, Ilham M.Said, Yusuf Amrozy
Mobile Application Development For University Library Services (Case Study: Library Of Uin Sunan Ampel Surabaya), Heri Cahyo Bagus, Firza Hardy Nugraha, Ilham M.Said, Yusuf Amrozy
Library Philosophy and Practice (e-journal)
This study was conducted to develop library services at UIN Sunan Ampel Surabaya by developing a system using the Rapid Application Development (RAD) method and the Mobile Library. This is done to complement the website services which can be accessed through catalog.uinsby.ac.id. Many users, especially students, experience restlessness in returning the book because there is no reminder feature for the deadline to return the book. As well as resulting in the number of fines that increase in number for each day. The purpose of this research is to make users more free to use the library services of UIN Sunan …
Price Optimization For Revenue Maximization At Scale, Nikhil Gupta, Massimiliano Moro, Kailey A. Ayala, Bivin Sadler
Price Optimization For Revenue Maximization At Scale, Nikhil Gupta, Massimiliano Moro, Kailey A. Ayala, Bivin Sadler
SMU Data Science Review
This study presents a novel approach to price optimization in order to maximize revenue for the distribution market of non-perishable products. Data analysis techniques such as association mining, statistical modeling, machine learning, and an automated machine learning platform are used to forecast the demand for products considering the impact of pricing. The techniques used allow for accurate modeling of the customer’s buying patterns including cross effects such as cannibalization and the halo effect. This study uses data from 2013 to 2019 for Super Premium Whiskey from a large distributor of alcoholic beverages. The expected demand and the ideal pricing strategy …
Towards A Holistic Risk Model For Safeguarding The Pharmaceutical Supply Chain: Capturing The Human-Induced Risk To Drug Quality, Heather R. Campbell
Towards A Holistic Risk Model For Safeguarding The Pharmaceutical Supply Chain: Capturing The Human-Induced Risk To Drug Quality, Heather R. Campbell
Theses and Dissertations--Pharmacy
Counterfeit, adulterated, and misbranded medicines in the pharmaceutical supply chain (PSC) are a critical problem. Regulators charged with safeguarding the supply chain are facing shrinking resources for inspections while concurrently facing increasing demands posed by new drug products being manufactured at more sites in the US and abroad. To mitigate risk, the University of Kentucky (UK) Central Pharmacy Drug Quality Study (DQS) tests injectable drugs dispensed within the UK hospital. Using FT-NIR spectrometry coupled with machine learning techniques the team identifies and flags potentially contaminated drugs for further testing and possible removal from the pharmacy. Teams like the DQS are …