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An Introduction to Duplicate Detection
With the ever increasing volume of data, data quality problems abound. Multiple, yet different representations of the same real-world objects in data, duplicates, are one of the most intriguing data quality problems. The effects of such duplicates are detrimental; for instance, bank customers can obtain duplicate identities, inventory levels are monitored incorrectly, catalogs are mailed multiple times to the same household, etc. Automatically detecting duplicates is difficult: First, duplicate representations are usually not identical but slightly differ in their values. Second, in principle all pairs of records should be compared, which is infeasible for large volumes of data. This lecture...
Revolutionizing Enterprise Interoperability through Scientific Foundations
"This book offers information on the latest advancements and research for Enterprise Interoperability knowledge as well as core concepts, theories, and future directions"--
Global Perspectives on Achieving Success in High and Low Cost Operating Environments
Competing in both high and low-cost operating environments can present a number of unique challenges. In light of global competition and the changing scope of various industries due to technological advancement, these challenges must be addressed in order to ensure business success. Global Perspectives on Achieving Success in High and Low Cost Operating Environments features a collection of research and case studies addressing contemporary issues surrounding operational success in various regions. Business professionals, managers, academics, and upper-level students will find this publication an essential resource for the latest tools and solutions for managing operations in diverse operating environments.
Implementation of Anti-Money Laundering Information Systems
This book is intended for compliance professionals, IT professionals, and business stakeholders who are working on anti-money laundering (AML) or financial crime risk management information systems implementation. This book focuses on the AML information systems technical implementation, especially the implementation/project planning, and current state, future state, gap analysis, as well some technical solutions and practical approaches. Most topics discussed in this book are for banks in the United States and Canada, but the principles and frameworks mentioned in the book could also be utilized in AML information systems implementations for insurance companies, asset/investment management firms, and securities dealers/brokers in North America or other jurisdictions even though different type financial institutions have different AML regulatory requirements in different jurisdictions.
Handbook of Data Quality
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged....
The Automated Self
The Automated Self explores meta-theoretical issues in the philosophy of artificial intelligence, combining it with themes from philosophy of science and technology, media and communication studies, and ethics. Balsemão-Pires provides an integrated view of contemporary problems of AI including the theoretical premises and discussions on the meaning, functioning and social uses of cognitive machines, the recent ethical and legal challenges on privacy, interpretability, and data ownership, passing through a careful discussion of the media embedment of the new technologies, and the uses of algorithms in the production and consumption of art.
Social Media and Networking: Concepts, Methodologies, Tools, and Applications
In the digital era, users from around the world are constantly connected over a global network, where they have the ability to connect, share, and collaborate like never before. To make the most of this new environment, researchers and software developers must understand users’ needs and expectations. Social Media and Networking: Concepts, Methodologies, Tools, and Applications explores the burgeoning global community made possible by Web 2.0 technologies and a universal, interconnected society. With four volumes of chapters related to digital media, online engagement, and virtual environments, this multi-volume reference is an essential source for software developers, web designers, researchers, students, and IT specialists interested in the growing field of digital media and engagement. This four-volume reference includes various chapters covering topics related to Web 2.0, e-governance, social media activism, internet privacy, digital and virtual communities, e-business, customer relationship management, and more.
Business Intelligence: Concepts, Methodologies, Tools, and Applications
Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries.
Entity Information Life Cycle for Big Data
Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data's impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM a...
Information Quality and Governance for Business Intelligence
Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.
