Online Profiling and Privacy


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Personality Traits in Online Communication


Book Description

Authoritative and illuminating, this book demonstrates how we reveal the secrets of our character through the disclosures we make about ourselves in the online world. The author expertly explores whether online information about people, derived from their search patterns, personal detail disclosures and the language they use when posting text, are all related to their personalities. The Internet era has given rise to an enormous explosion of data that is refreshed daily on a massive scale. The growth of online social network sites has created opportunities for more and more people to reveal intimate details about themselves and their lives. While some of these disclosures are consciously made, other, more subtle forms of person profiling can be produced by examining patterns in our online behavior and the language we use in our online posts. As this book will show, techniques have been developed which enable researchers to build detailed personality profiles of people without their awareness, by examining online behaviour and psycholinguistic analysis. Establishing how unlocking the full potential of ‘big data’ is dependent on having the right analytical tools that can be applied speedily and cost-effectively on a massive scale, the author also asks how powerful these methods are, and can they really be used to influence us in the way their critics fear and proponents claim. Explaining how we reveal the secrets of our character through the disclosures we make about ourselves in the online world, this is fascinating reading for students and academics in psychology, linguistics, computer science, and related areas.




Profiling The Fraudster


Book Description

Detect and combat corporate fraud with new profiling techniques Profiling the Fraudster: Removing the Mask to Prevent and Detect Fraud takes a step-by-step approach beyond the Fraud Triangle to identify characteristics in potential fraudsters, employees and new hires that will sound alarm bells before they get their hands on your organization's assets. The typical organization loses a staggering 5% of its annual revenue to fraud. Traditional fraud investigations focus on the breakdown of internal controls but what happens when the human beings forming a key component of that chain of control are inherently dishonest? This book shows you how to recognize the characteristics and behavioral patterns of potential fraudsters who are entrusted with safeguarding corporate assets. The book includes: An in-depth look at fraud investigation techniques and how these can be enhanced by using the characteristics of fraudulent behavior, A detailed look at profiling potential perpetrators of fraud, A detailed breakdown of how to compile a fraud profile, A discussion of a wide range of organizational fraud, including abuse of power, embezzlement, computer fraud, expense abuse, and more, Tables, illustrations, and diagrams to enhance the narrative If you're a corporate fraud investigator, auditor, forensic accountant, law enforcement professional, or anyone challenged with safeguarding your organizations assets—Profiling the Fraudster shows you how to remove the mask and prevent and detect fraud.




Internet and Wireless Privacy


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Data Profiling


Book Description

Data profiling refers to the activity of collecting data about data, i.e., metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct values, statistical value distributions, and the number of null or empty values in each column. More complex types of metadata are statements about multiple columns and their correlation, such as candidate keys, functional dependencies, and other types of dependencies. This book provides a classification of the various types of profilable metadata, discusses popular data profiling tasks, and surveys state-of-the-art profiling algorithms. While most of the book focuses on tasks and algorithms for relational data profiling, we also briefly discuss systems and techniques for profiling non-relational data such as graphs and text. We conclude with a discussion of data profiling challenges and directions for future work in this area.




Federal Register


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Data Mining and Business Intelligence


Book Description

Annotation Provides an overview of data mining technology and how it is applied in a business environment. Material is not written in a technical style, but rather addresses the applied methodology behind implementing data mining techniques in the corporate environment. Explains how the technology evolved, overviews the methodologies that comprise the data mining spectrum, and looks at everyday business applications for data mining, in areas such as marketing and advertising promotions and pricing policies using econometric-based modeling, and using the Internet to help improve an organization's performance. Kudyba is an economic consultant. Hoptroff is an independent consultant with experience in data mining software. Annotation c. Book News, Inc., Portland, OR (booknews.com).