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Knowledge-Based Systems
A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.
Intelligent Technologies for Web Applications
This reference presents both fundamental and advanced topics and related to Web operations. Using an integrated approach, the authors describe the basics as well as latest trends in the area. They cover agent-based Web, wrapper induction, Web mining, information retrieval, Web knowledge management, and social networks. The text includes a host of examples and over 100 illustrations that clarify complex material. It also contains many bibliographical notes, end-of-chapter exercises, glossaries, and practice questions with solutions/hints.
Essence of Systems Analysis and Design
The main objective is to provide quick and essential knowledge for the subject with the help of summary and solved questions /case studies without going into detailed discussion. This book will be much helpful for the students as a supplementary text/workbook; and to the non-computer professionals, who deal with the systems analysis and design as part of their business. Such problem solving approach will be able to provide practical knowledge of the subject and similar learning output, without going into lengthy discussions. Though the book is conceived as supplementary text/workbook; the topics are selected and arranged in such a way that it can provide complete and sufficient knowledge of the subject.
Intelligent Techniques for Data Science
This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.
Illustrated Computational Intelligence
This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.
Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities
Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.
Tracking and Preventing Diseases with Artificial Intelligence
This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions. The book is suitable for computer scientists having a bachelor degree in computer science. The b...
Soft Computing Applications for Database Technologies
"This book investigates the advent of soft computing and its applications in database technologies"--Provided by publisher.
Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities
The development of software has expanded substantially in recent years. As these technologies continue to advance, well-known organizations have begun implementing these programs into the ways they conduct business. These large companies play a vital role in the economic environment, so understanding the software that they utilize is pertinent in many aspects. Researching and analyzing the tools that these corporations use will assist in the practice of software engineering and give other organizations an outline of how to successfully implement their own computational methods. Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities is an ess...
Handbook of Research on Practices and Outcomes in E-Learning: Issues and Trends
"This book includes a selection of world-class chapters addressing current research, case studies, best practices, pedagogical approaches and strategies, related resources and projects related to e-learing"--Provided by publisher.
