Machine learning techniques for identification using mobile and social media data

Networked access and mobile devices provide near constant data generation and collection. Users, environments, applications, each generate different types of data; from the voluntarily provided data posted in social networks to data collected by sensors on mobile devices, it is becoming trivial to access big data caches. Processing sufficiently large amounts of data results in inferences that can be characterized as privacy invasive. In order to address privacy risks we must understand the limits of the data exploring relationships between variables and how the user is reflected in them. In this dissertation we look at data collected from social networks and sensors to identify some aspect of the user or their surroundings. In particular, we find that from social media metadata we identify individual user accounts and from the magnetic field readings we identify both the (unique) cellphone device owned by the user and their course-grained location. In each project we collect real-world datasets and apply supervised learning techniques, particularly multi-class classification algorithms to test our hypotheses. We use both leave-one-out cross validation as well as k-fold cross validation to reduce any bias in the results. Throughout the dissertation we find that unprotected data reveals sensitive information about users. Each chapter also contains a discussion about possible obfuscation techniques or countermeasures and their effectiveness with regards to the conclusions we present. Overall our results show that deriving information about users is attainable and, with each of these results, users would have limited if any indication that any type of analysis was taking place

CITIES: Energetic Efficiency, Sustainability; Infrastructures, Energy and the Environment; Mobility and IoT; Governance and Citizenship

This book collects important contributions on smart cities. This book was created in collaboration with the ICSC-CITIES2020, held in San José (Costa Rica) in 2020. This book collects articles on: energetic efficiency and sustainability; infrastructures, energy and the environment; mobility and IoT; governance and citizenship

A treatise on Web 2.0 with a case study from the financial markets

There has been much hype in vocational and academic circles surrounding the emergence of web 2.0 or social media; however, relatively little work was dedicated to substantiating the actual concept of web 2.0. Many have dismissed it as not deserving of this new title, since the term web 2.0 assumes a certain interpretation of web history, including enough progress in certain direction to trigger a succession [i.e. web 1.0 → web 2.0]. Others provided arguments in support of this development, and there has been a considerable amount of enthusiasm in the literature. Much research has been busy evaluating current use of web 2.0, and analysis of the user generated content, but an objective and thorough assessment of what web 2.0 really stands for has been to a large extent overlooked. More recently the idea of collective intelligence facilitated via web 2.0, and its potential applications have raised interest with researchers, yet a more unified approach and work in the area of collective intelligence is needed. This thesis identifies and critically evaluates a wider context for the web 2.0 environment, and what caused it to emerge; providing a rich literature review on the topic, a review of existing taxonomies, a quantitative and qualitative evaluation of the concept itself, an investigation of the collective intelligence potential that emerges from application usage. Finally, a framework for harnessing collective intelligence in a more systematic manner is proposed. In addition to the presented results, novel methodologies are also introduced throughout this work. In order to provide interesting insight but also to illustrate analysis, a case study of the recent financial crisis is considered. Some interesting results relating to the crisis are revealed within user generated content data, and relevant issues are discussed where appropriate

Business Ethics

Business Ethics is designed to meet the scope and sequence requirements of the single-semester business ethics course. This title includes innovative features designed to enhance student learning, including case studies, application scenarios, and links to video interviews with executives, all of which help instill in students a sense of ethical awareness and responsibility.https://commons.erau.edu/oer-textbook/1006/thumbnail.jp

The effect of ICT investment, ICT governance mechanisms, boards with diverse ICT expertise and ownership structures on firm performance

This thesis examined the effects of ICT investment, ICT governance mechanisms, boards with diverse ICT expertise, and ownership structures on firm performance of Malaysian technology sector in the Malaysian Public Listed Companies from 2010 until 2014. This study employed the balanced panel data for a sample of 33 listed companies, with 165 observations. A dynamic model was built and estimation was carried out by using the System Generalized Method of Moments (SGMM). As predicted, ICT investment incurred in the current year displayed a significantly negative impact upon ROE. Even though ICT investment failed to exhibit a significantly positive effect upon firm performance during the initial period of spending, the findings portrayed that ICT spending in current year had the ability to positively influence Tobin’s Q. In fact, ICT investment incurred in the lag of a year showed significantly positive impact on Tobin’s Q. In terms of ICT governance mechanisms, the presence of ICT governance committee had been found to have a significantly negative effect on ROA, ROE, and Tobin’s Q, whereas the presence of ICT senior management showed significantly positive effect upon Tobin’s Q. The boards with ICT industrial experiences displayed a positive effect upon ROA, ROE, and Tobin’s Q, but a significantly negative effect was discovered for boards with ICT professional qualifications on Tobin’s Q. As for ownership structures, managerial ownership exhibited significantly positive effect on Tobin’s Q, but negatively on ROA. Furthermore, the government and foreign ownerships were found to have significantly positive effect on ROA. Hence, the findings from this study are indeed beneficial not only for all stakeholders, including policymakers, regulators, and academics; but also for board of company and management level in ascertaining that their ICT implementation is properly governed under appropriate ICT standards

Essentials of forensic accounting

https://egrove.olemiss.edu/aicpa_guides/2728/thumbnail.jp

Computer Science Principles with Python

This textbook is intended to be used for a first course in computer science, such as the College Board’s Advanced Placement course known as AP Computer Science Principles (CSP). This book includes all the topics on the CSP exam, plus some additional topics. It takes a breadth-first approach, with an emphasis on the principles which form the foundation for hardware and software. No prior experience with programming should be required to use this book. This version of the book uses the Python programming language.https://rdw.rowan.edu/oer/1024/thumbnail.jp