Praise for Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide "A wonderful desktop reference for anyone trying to move from traditional auditing to integrated auditing. The numerous case studies make it easy to understand and provide a how-to for those?seeking to implement automated tools including continuous assurance. Whether you are just starting down the path or well on your way, it is a valuable resource." -Kate M. Head, CPA, CFE, CISA Associate Director, Audit and Compliance University of South Florida "I have been fortunate enough to learn from Dave's work over the last fifteen years, and this publication is no exception. Using his twenty-plus years of experience, Dave walks through every aspect of detecting fraud with a computer from the genesis of the act to the mining of data for its traces and its ultimate detection. A complete text that first explains how one prevents and detects fraud regardless of technology and then shows how by automating such procedures, the examiners' powers become superhuman." -Richard B. Lanza, President, Cash Recovery Partners, LLC "Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide helps management and auditors answer T. S. Eliot's timeless question, 'Where is the knowledge lost in information?' Data analysis provides a means to mine the knowledge hidden in our information. Dave Coderre has long been a leader in educating auditors and others about Computer Assisted Audit Techniques. The book combines practical approaches with unique data analysis case examples that compel the readers to try the techniques themselves." -Courtenay Thompson Jr. Consultant, Courtenay Thompson & Associates

The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.

This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).

Put the brakes on fraud. It is much more cost-effective to prevent fraud than to punish it. Providing an insider's look into the most prevalent fraud schemes used by employees, owners, managers, and executives, Corporate Fraud Handbook, Fourth Edition provides you with a systematic approach to stop fraud in its tracks before it happens. Sharing his four decades of experience in the field of fraud detection and deterrence, author Dr. Joseph T. Wells founder and chairman of the Association of Certified Fraud Examiners brings each scheme to life by using real case studies submitted to the ACFE by the fraud examiners who investigated them. Written for anyone responsible for reducing fraud losses and mitigating the risk of fraud, Corporate Fraud Handbook features: Tips and techniques for quantifying financial losses from fraud schemes Observations and conclusions in each chapter to help you devise prevention and detection strategies Real-life case studies that provide a view inside the mind of a fraudster The fraud tree, a systematic classification of the various types of occupational fraud Statistics from the ACFE's 2012 Report to the Nations on Occupational Fraud and Abuse From sophisticated investment swindles to petty theft, false overtime to bribery, discover how to prevent and detect corporate fraud with the expert guidance found in Corporate Fraud Handbook, Fourth Edition.

Following the successful of previous conference, 3rd International Conference on Administrative Science, Policy, and Governance Studies (ICAS-PGS) in strategic alliance with 4th International Conference of Business Administration and Policy (ICBAP) 2019 will be held on October 30-31, 2019 in Universitas Indonesia, Depok, West Java, Indonesia. This year’s conference theme is “Strengthening Strategic Administrative Reform Policy to Promote Competitiveness and Innovation in Industrial Revolution 4.0: The Opportunities and Challenges.” This conference is hosted by Faculty of Administrative Science Universitas Indonesia (FIA UI). The conference covers debates over problematic situation, theoretical frameworks, as well as prescribed policies the way that governments, businesses, and civil societies essentially need to outline strategies to realize reform commitment and achieve change efficacy for purposes of harnessing innovation while considering the opportunities and challenges as well as maintaining sustainability, engaging in a more dynamic predicament such as regulatory frameworks that affect relations of multiple governance actors in today’s dynamic towards Industrial Revolution 4.0. The main objective of this conference is to discuss and debate the recent trends in administrative science on a range of issues such as public, business, and fiscal and the interconnectedness of all in Industrial Revolution 4.0. This conference is aimed to bring researchers, academicians, scientists, policymakers, professional managers, students, and other related stakeholders; together to participate and present their latest research findings, developments, and practical solutions related to the various aspects of administrative challenges in public and private sector. The general theme of 3rd ICAS-PGS and 4th ICBAP 2019 is “Strengthening Strategic Administrative Reform Policy to Promote Competitiveness and Innovation in Industrial Revolution 4.0: The Opportunities and Challenges.” The conferences consist of three streams representing differences of focus and scopes of research interests within the discipline of public, business, and fiscal administration and policy. We convey our gratitude to our esteemed Committee, Speakers and Participants, for giving their best to the success of the conference

This book constitutes the refereed proceedings of the 15 Ibero-American Conference on Artificial Intelligence, IBERAMIA 2016, held in San José, Costa Rica, in November 2016. The 34 papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: knowledge engineering, knowledge representation and probabilistic reasoning; agent technology and multi-agent systems; planning and scheduling; natural language processing; machine learning; big data, knowledge discovery and data mining; computer vision and pattern recognition; computational intelligence soft computing; AI in education, affective computing, and human-computer interaction.

Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic evidence. Networked computing, wireless communications and portable electronic devices have expanded the role of digital forensics beyond traditional computer crime investigations. Practically every crime now involves some aspect of digital evidence; digital forensics provides the techniques and tools to articulate this evidence. Digital forensics also has myriad intelligence applications. Furthermore, it has a vital role in information assurance -- investigations of security breaches yield valuable information that can be used to design more secure systems. Advances in Digital Forensics VII describes original research results and innovative applications in the discipline of digital forensics. In addition, it highlights some of the major technical and legal issues related to digital evidence and electronic crime investigations. The areas of coverage include: Themes and Issues, Forensic Techniques, Fraud and Malware Investigations, Network Forensics, and Advanced Forensic Techniques. This book is the 7th volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.9 on Digital Forensics, an international community of scientists, engineers and practitioners dedicated to advancing the state of the art of research and practice in digital forensics. The book contains a selection of 21 edited papers from the 7th Annual IFIP WG 11.9 International Conference on Digital Forensics, held at the National Center for Forensic Science, Orlando, Florida, USA in the spring of 2011. Advances in Digital Forensics VII is an important resource for researchers, faculty members and graduate students, as well as for practitioners and individuals engaged in research and development efforts for the law enforcement and intelligence communities. Gilbert Peterson is an Associate Professor of Computer Engineering at the Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio, USA. Sujeet Shenoi is the F.P. Walter Professor of Computer Science at the University of Tulsa, Tulsa, Oklahoma, USA.

Accountants have historically had an important role in the detection and deterrence of fraud. As Joe Wells’ Principles of Fraud Examination 4th edition illustrates, fraud is much more than numbers; books and records don’t commit fraud – people do. Widely embraced by fraud examination instructors across the country, Principles of Fraud Examination, 4th Edition, by Joseph Wells, is written to provide a broad understanding of fraud to today’s accounting students – what it is and how it is committed, prevented, detected, and resolved. This 4th edition of the text includes a chapter on frauds perpetrated against organizations by individuals outside their staff—a growing threat for many entities as commerce increasingly crosses technological and geographical borders.

Computer systems have become an important element of the world economy, with billions of dollars spent each year on development, manufacture, operation, and maintenance. Combining coverage of computer system reliability, safety, usability, and other related topics into a single volume, Computer System Reliability: Safety and Usability eliminates th

Internal Audit: Efficiency Through Automation teaches state-of-the-art computer-aided audit techniques, with practical guidelines on how to get much needed data, overcome organizational roadblocks, build data analysis skills, as well as address Continuous Auditing issues. Chapter 1 CAATTs History, Chapter 2 Audit Technology, Chapter 3 Continuous Auditing, Chapter 4 CAATTs Benefits and Opportunities, Chapter 5 CAATTs for Broader Scoped Audits, Chapter 6 Data Access and Testing, Chapter 7 Developing CAATT Capabilities, Chapter 8 Challenges for Audit,