The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.

This comprehensive reference to all areas of expert systems and applications, plus advanced related topics, lets you spend your time reading expert systems literature rather than searching for it. It gives you a source of historical perspectives and outlooks on the future of the field. Whether you are a manager, a developer or an end user or researcher, Expert Systems and Related Topics: Selected Bibliography & Guide to Information Sources puts all the sources of expert systems literature at your fingertips.

This book provides an understanding of the concepts and objectives of expert systems. It is a practical guide, intended to help the practitioner in identifying potential application in his/her own practice, and to understand the limitations of the technology. This should provide the auditor with a ground basis to direct, stimulate and control development efforts in his own practice. At the same time, it should give students in auditing a good grasp of the possibilities and limitations of the technology.

The aim of this volume is to give practical guidance on how to establish and use expert systems technology within an organization, avoiding various pitfalls on the way. The book also outlines the resulting benefits in terms of productivity.

Shows the audit of computerized accounting systems as part of the audit of the financial statements. Covers the control risk assessment procedures that the auditor performs on computerized systems in meeting objective relating to the audit financial statements.

Describes the range of activities where expert systems can be employed for management decision-making, including: financial analysis; estimating casualty insurance losses; preparing income tax statements; sales and marketing support; quality assurance; crisis management; construction management; and contracting. Annotation copyrighted by Book News, Inc., Portland, OR

The world economy in which we are living poses challenges that lead to a realization that 'more of the same' will be difficult to sustain. This provides an illustration that, in order to create new or modified knowledge practices, strengthen customer relationships and thus positively influence customer satisfaction, organizations must be flexible in configuring (combining) knowledge and knowledge structures in a way that is appropriate for delivering value to the customer. It must simultaneously develop effective strategies for updating the knowledge of its staff members necessary for underpinning the creation and delivery of appropriate knowledge services. Thus, unlearning (forgetting) becomes a critical means for organizational success. The ECKM community of scholars has already initiated dialogue that links its particular strengths to innovation issues. This conference aims to further that dialogue by attracting leading edge work that leverages the ECKM community's in-depth understanding of learning and unlearning to better understand knowledge management. Our aim is to stimulate breakthrough research streams linking learning, unlearning and knowledge management. How can organizations tailor, use, and extend techniques and tools from knowledge management for improving their business practices and processes? Building upon existing work on knowledge management (KM) and organizational learning, the conference will promote interdisciplinary approaches from computer science and information systems, business, management and organization science as well as cognitive science. Emphasis will be put on systematic learning from experience, KM tools and KM success factors. A special interest belongs to knowledge management initiatives which are lightweight (i.e., do not place considerable additional burden on users and KM experts), allow an incremental adoption (i.e., do not require large up-front investment before any return of investment is at least visible), and are flexible regarding frequent changes in experts and topics. Continuing the success of the ECKM conference series since 2000, the 2015 conference will provide an international communication forum bringing together academia and industry for discussing the progress made and addressing the challenges faced by continuous learning in knowledge-intensive organizations.

The book is written with the objective of automating the audit decision in detecting variations or exceptional data between the current and preceding or penultimate month in payroll processing, using an Expert System. The book begins in Chapter one with an introduction. Chapter two is a review of the expert system theory and empirical literature on its use in business applications while Chapter three presents the methodology of research. Chapter Four dwells on the design and development of the expert system software for payroll audit. Finally, Chapter Five concludes with a summary and recommendations. The payroll audit decision expert system is therefore highly commended to end-users such as internal or external auditors, accountants, fraud examiners, risk consultants and enthusiastic readers seeking to detect and prevent Payroll fraud through an Expert System. The book is also written for the consumption of interested Expert System researchers.