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In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isn‘t worth much unless we can determine that these systems are being effectively and responsibly employed.Written by one of the most
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For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.
Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware d
Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive
Black money and financial crime are emerging global phenomena. During the last few decades, corrupt financial practices were increasingly being monitored in many countries around the globe. Among a large number of problems is a lack of general awareness about all these issues among various stakeholders including researchers and practitioners. The Handbook of Research on Theory and Practice of Financial Crimes is a critical scholarly research publication that provides comprehensive research on all aspects of black money and financial crime in individual, organizational, and societal experiences. The book further examines the implications of white-collar crime and practices to enhance forensic audits on financial fraud and the effects on tax enforcement. Featuring a wide range of topics such as ethical leadership, cybercrime, and blockchain, this book is ideal for policymakers, academicians, business professionals, managers, IT specialists, researchers, and students.
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020. The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design.
This book tracks post 9/11 developments in national security and policing intelligence and their relevance to new emerging areas of intelligence practice such as: corrections, biosecurity, private industry and regulatory environments. Developments are explored thematically across three broad sections: applying intelligence understanding structures developing a discipline. Issues explored include: understanding intelligence models; the strategic management challenges of intelligence; intelligence capacity building; and the ethical dimensions of intelligence practice. Using case studies collected from wide-ranging interviews with leaders, managers and intelligence practitioners from a range of practice areas in Australia, Canada, New Zealand, the UK and US, the book indentifies examples of good practice across countries and agencies that may be relevant to other settings. Uniquely bringing together significant theoretical and practical developments in a sample of traditional and emerging areas of intelligence, this book provides readers with a more holistic and inter-disciplinary perspective on the evolving intelligence field across several different practice contexts. Intelligence and Intelligence Analysis will be relevant to a broad audience including intelligence practitioners and managers working across all fields of intelligence (national security, policing, private industry and emerging areas) as well as students taking courses in policing and intelligence analysis.