Knowledge-Based Computing Books - Page 4

Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings (Lecture Notes in Computer ... Science) (Lecture Notes in Computer Science)

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Editorial Review:

This book constitutes the refereed proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008, held in Osaka, Japan, in May 2008.

The 37 revised long papers, 40 revised full papers, and 36 revised short papers presented together with 1 keynote talk and 4 invited lectures were carefully reviewed and selected from 312 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Agents As Objects With Knowledge Base State

Nikolaos Skarmeas

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Editorial Review:

This book describes the design and implementation of such a language platform called April++ and its use on a number of applications. Methodologically, in designing and implementing the language, a layered approach has been adopted. April++ has been developed as a series of macro defined layers on top of the relatively primitive features of a pre-existing language called April. On top of April++, an agent layer has been built (as a set of pre-defined classes) for constructing agent based systems. This layer has been customised for specific application domains considered. This includes a mobile agent application, a distributed database application and a network management one.

Analysis for Knowledge-Based Systems: A Practical Guide to the Kads Methodology (Ellis Horwood Books in Information Technology)

Frank R. Hickman, Jonathan L. Killin, Lise Land

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Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry : 13-15 April 1993 Orlando, Florida (Proceedings of S P I E)

Usama M. Fayyad

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Automated Knowledge Acquisition

Sabrina Sestito, Tharam S. Dillon

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Editorial Review:

This tutorial provides clear explanations of techniques for automated knowledge acquisition. The techniques covered include: decision tree methods, progressive rule generation, explanation-based learning, artificial neural networks, and genetic algorithm approaches. The book is suitable for both advanced undergraduate and graduate students and computer professionals.

Automating Software Design

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Editorial Review:

The contributions in Automating Software Design provide substantial evidence that AI technology can meet the requirements of the large potential market that will exist for knowledge-based software engineering at the turn of the century. They are divided into sections covering knowledge-­based tools for large software systems, knowledge-based specification acquisition, domain-oriented program synthesis, knowledge compilation, knowledge-based program optimization, formal derivation systems, and cognitive and planning approaches to software design.

Michael Lowry is at the Kestrel Institute. Robert McCartney is in the Department of Computer Science and Engineering at the University of Connecticut.

Partial Contents: Knowledge-Based Software Engineering: How and Why Did We Get Here? The Evolution of Very Large Information Systems. LaSSIE: A knowledge-Based Software Information System. Reducing the Complexity of Formal Specification Acquisition. Software Reuse and Refinement in the IDeA and ROSE Systems. Data Relationships and Software Design. Scientific Programming by Automated Synthesis. Synthesizing VLSI Routing Software from Specification. A Divide-and-Conquer Approach to Knowledge Compilation (the KBSDE project). Program Improvement by Automatic Redistribution of Intermediate Results: An Overview. Concurrent Software Production. Design Principles for an Interactive Program Derivation System. The Structure and Design of Local Search Algorithms. Automating Algorithm Design Within a General Architecture for Intelligence. Software Engineering in the Twenty-First Century.

Building Knowledge-Based Systems: Towards a Methodology

John S. Edwards

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Comparative Approaches to Medical Reasoning (Advances in Fuzzy Systems. Applications and Theory, Vol 3)

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Computational Linguistics and Intelligent Text Processing: 8th International Conference, CICLing 2007, Mexico City, Mexico, February 18-24, 2007, Proceedings (Lecture Notes in Computer Science)

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Editorial Review:

This book constitutes the refereed proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2007, held in Mexico City, Mexico in February 2007.

The 53 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 179 submissions. The papers cover all current issues in computational linguistics research and present intelligent text processing applications. The papers are organized in topical sections on: lexical resources, corpus-based knowledge acquisition, morphology and part-of-speech tagging, named entity recognition, temporal expression treatment, word segmentation, sentence splitting, chunking, grammar formalisms and syntax, word sense disambiguation and discrimination, semantics, humor and emotion analysis; machine translation, natural language generation, intelligent tutoring systems, information retrieval, question answering, text summarization and information extraction, text categorization and clustering, and spell-checking.

Computer Aided Decision Support in Telecommunications (BT Telecommunications Series)

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Editorial Review:

In bringing together this book, the editors have kept two goals in mind. Firstly, the goal of educating the reader by giving an insight into the wealth of computing and mathematical techniques now being used to build decision support systems. Secondly, of aiming to stimulate the imagination by including an eclectic mix of contributions from a wide range of business areas to demonstrate that there is no field in which modern decision support techniques cannot usefully be applied. The quintessence of decision support systems is that they are designed to assist people in establishing the best course of action in a given situation but not to automate or tell them prescriptively how to achieve a goal.