International Journal of Applied Expert Systems
Author:
Publisher:
Published: 1994
Total Pages: 252
ISBN-13:
DOWNLOAD EBOOKPosts
The Handbook of Applied Expert Systems
Author: Jay Liebowitz
Publisher: CRC Press
Published: 2019-07-23
Total Pages: 725
ISBN-13: 0429612494
DOWNLOAD EBOOKThe 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.
Conceptual Modeling - ER '98
Author: Tok Wang Ling
Publisher: Springer
Published: 2004-06-04
Total Pages: 496
ISBN-13: 354049524X
DOWNLOAD EBOOKThis volume constitutes the refereed proceedings of the 17th International Conference on Conceptual Modeling, ER '98, held in Singapore, in November 1998. The 32 revised full papers presented were carefully reviewed and selected from a total of 95 submissions. The book is divided into chapters on conceptual modeling and design, user interface modeling, information retrieval on the Web, semantics and constraints, conceptual modeling tools, quality and reliability metrics, industrial experience in conceptual modeling, object-oriented database management systems, data warehousing, industrial case studies, object-oriented approaches.
Expert Systems in Finance
Author: Noura Metawa
Publisher: Routledge
Published: 2019-05-10
Total Pages: 264
ISBN-13: 0429656866
DOWNLOAD EBOOKThroughout the industry, financial institutions seek to eliminate cumbersome authentication methods, such as PINs, passwords, and security questions, as these antiquated tactics prove increasingly weak. Thus, many organizations now aim to implement emerging technologies in an effort to validate identities with greater certainty. The near instantaneous nature of online banking, purchases, transactions, and payments puts tremendous pressure on banks to secure their operations and procedures. In order to reduce the risk of human error in financial domains, expert systems are seen to offer a great advantage in big data environments. Besides their efficiency in quantitative analysis such as profitability, banking management, and strategic financial planning, expert systems have successfully treated qualitative issues including financial analysis, investment advisories, and knowledge-based decision support systems. Due to the increase in financial applications’ size, complexity, and number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emergence of new research areas is clear evidence of the rise of new demands and requirements of modern real-life applications to be more intelligent. This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. In addition, it offers a collection of high-quality research that addresses broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. The book serves to aid the continued efforts of the application of intelligent systems that respond to the problem of big data processing in a smart banking and financial environment.
GeoComputation
Author: Robert J. Abrahart
Publisher: CRC Press
Published: 2014-06-23
Total Pages: 470
ISBN-13: 1466503297
DOWNLOAD EBOOKA revision of Openshaw and Abrahart's seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field's development, this new edition takes a broader view and provides comprehensive coverage across the
Knowledge Acquisition, Modeling and Management
Author: Rudi Studer
Publisher: Springer
Published: 2003-06-29
Total Pages: 413
ISBN-13: 3540487751
DOWNLOAD EBOOKPast, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.
Knowledge Acquisition, Modeling and Management
Author: Dieter Fensel
Publisher: Springer Science & Business Media
Published: 1999-05-19
Total Pages: 413
ISBN-13: 3540660445
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management, EKAW '99, held at Dagstuhl Castle, Germany in May 1999. The volume presents 16 revised full papers and 15 revised short papers were carefully reviewed and selected form a high number of submissions. Also included are two invited papers. The papers address issues of knowledge acquisition (i.e., the process of extracting, creating, structuring knowledge, etc.), of knowledge-level modeling for knowledge-based systems, and of applying and redefining this work in a knowledge management and knowledge engineering context.
Artificial Intelligence and Knowledge Processing
Author: Hemachandran K
Publisher: CRC Press
Published: 2023-09-06
Total Pages: 372
ISBN-13: 1000934624
DOWNLOAD EBOOKArtificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book. This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning.
Intelligent Technologies in Library and Information Service Applications
Author: Frederick Wilfrid Lancaster
Publisher: Information Today, Inc.
Published: 2001
Total Pages: 232
ISBN-13: 9781573871037
DOWNLOAD EBOOKLimiting the scope of the study to currently operating artificial intelligence (AI) systems, Lancaster (library and information science, U. of Illinois) and Warner (Thesaurus Design Specialist, Argus Associates, Inc.) offer advice on what AI services can be applied to library and information services and speculate on what may become applicable in the near future. Among the applications discussed are cataloging, subject indexing, reference services, intelligent text processing, data mining, help desks, critiquing systems, speech technology, and computer vision. c. Book News Inc.
Conceptual Modeling - ER '97
Author: David W. Embley
Publisher: Springer Science & Business Media
Published: 1997-10-22
Total Pages: 504
ISBN-13: 9783540636991
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 16th International Conference on Conceptual Modeling, ER '97, held in Los Angeles, California, USA, in November 1997. The 32 revised full papers presented in the book were carefully selected from a total of 93 submissions. Also included are two full invited papers.The volume is divided in topical sections on automated design, temporal modeling, languages, activity modeling, applied modeling, object-oriented modeling, theoretical issues in modeling, experience and applications, distributed systems, integration, and tools.
