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Knowledge-Based Information Systems in Practice

Knowledge-Based Information Systems in Practice

Knowledge-Based Information Systems in Practice
by Jeffrey W. Tweedale

This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques.


Knowledge-Based and Intelligent Information and Engineering Systems is a field of study related to innovative knowledge maangement to achieve intelligent tasks. Research is predominantly software based, however requires and incorporates technology to build new or innovative tools that ultimately benefit society. Industry continues to invest in Knowledge-Based and Intelligent Information and Engineering
Systems, with many creating internal reaserch facilities. During the 20th century, Industry has been heavy invester in this sector and the trend is increasing. This higfhlights the evolution towards a mechanized workforce, resulting in a shift towards more intelligent robots and unmanned systems. A similarly growth area is also being reflecting in agriculture, medicine and portable health care products.
Intelligent Systems are becoming ubiquitous in a wide range of situations. These include facets of simple everyday actions on mobile devices and advanced enterprise level applications. Society continues to benefits from application of innovative knowledgement management techniques and expert decision making in knowledgebased systems. Although knowledge engineering relies on the exploitation of Artificial Intelligence techniques, the field relies on innovative researchers exploring solutions to an ever increasing span of industrial level problems.
This evolution in knowledgement management techniques has become a pervasive phenomenon wihtin the community. These techniques are rapidly being employed within the mobile computing domain and continue to promote the unbiquotous access to information resources. Technolgy is enabling increased processing capabilities to hand-held devices, forcing more innovative access techniques to existing intelligent systems. Society is begining to demand everyday applications that provide convenient access to the wealth of information processing systems serving the public. To achieve this, we must take advantage of the most recent research in information technologies.
We have choosen a handfull of world class contributions from leading-edge researchers to provide readers with the abilitiy explore cutting edge examples of this evolvution in a single volume. These experts share a combined knowledge of over a century of experience in promoting and sharing advancements in both Artificial Intelligence and Knowledge-based engineering. The editors are proud to offer this ensemble of contributions and the reader is encouraged to explore the introduction to orient their expectations prior to focusing on any specific topic(s) of interest. They are also encouraged to extend there interest by exploring the remaining chapters to obtain an up to date exposure of a diverse range of Knowledge-Based and Intelligent Information and Engineering Systems topics and techniques. Several chapters are also dedicated to employing knowledge management methodologies that help solve a diverse range of problems experienced by industry. We hope you enjoy the inovations presentated as much as we did shepherding these contributuons into print.

Computational Intelligence and Pattern Analysis in Biology Informatics

Publisher: Wiley By: Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang ISBN: 978-0-470-58159-9

Publisher: Wiley
By: Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang
ISBN: 978-0-470-58159-9

This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers.