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Foundations of Intelligent Systems

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Cover of 'Foundations of Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Information Retrieval Based on Statistical Language Models
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    Chapter 2 Intelligent Agent Battlespace Augmentation
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    Chapter 3 Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation
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    Chapter 4 Can Relational Learning Scale Up?
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    Chapter 5 Discovering Geographic Knowledge: The INGENS System
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    Chapter 6 Temporal Data Mining Using Hidden Periodicity Analysis
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    Chapter 7 Mining N -most Interesting Itemsets
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    Chapter 8 Repository Management in an Intelligent Indexing Approach for Multimedia Digital Libraries
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    Chapter 9 Logic-Based Approach to Semistructured Data Retrieval
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    Chapter 10 High Quality Information Retrieval for Improving the Conduct and Management of Research and Development
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    Chapter 11 Signature-Based Indexing for Retrieval by Spatial Content in Large 2D -String Image Databases
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    Chapter 12 Refining Logic Theories under OI-Implication
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    Chapter 13 Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental Approach
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    Chapter 14 A Dynamic Approach for Knowledge Discovery of Web Access Patterns
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    Chapter 15 Data Reduction via Conflicting Data Analysis
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    Chapter 16 A Comparison of Rule Matching Methods Used in AQ15 and LERS
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    Chapter 17 Evolving Behaviors for Cooperating Agents
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    Chapter 18 Evolving Finite-State Machine Strategies for Protecting Resources
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    Chapter 19 A Method of Generating Program Specification from Description of Human Activities
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    Chapter 20 PLAtestGA: A CNF-Satisfiability Problem for the Generation of Test Vector for Missing Faults in VLSI Circuits
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    Chapter 21 Evaluating Migration Strategies for an Evolutionary Algorithm Based on the Constraint-Graph that Solves CSP
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    Chapter 22 Relative Robustness: An Empirical Investigation of Behaviour Based and Plan Based Paradigms as Environmental Conditions Change
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    Chapter 23 A Heuristic for Domain Independent Planning and Its Use in an Enforced Hill-Climbing Algorithm
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    Chapter 24 Planning while Executing: A Constraint-Based Approach
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    Chapter 25 Problem Decomposition and Multi-agent System Creation for Distributed Problem Solving
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    Chapter 26 A Comparative Study of Noncontextual and Contextual Dependencies
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    Chapter 27 Extended Query Answering Using Integrity Rules
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    Chapter 28 Finding Temporal Relations: Causal Bayesian Networks vs. C4.5
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    Chapter 29 Learning Relational Clichés with Contextual LGG
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    Chapter 30 Design of Rough Neurons: Rough Set Foundation and Petri Net Model
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    Chapter 31 Towards Musical Data Classification via Wavelet Analysis
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    Chapter 32 Annotated Hyperresolution for Non-horn Regular Multiple-Valued Logics
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    Chapter 33 Fundamental Properties on Axioms of Kleene Algebra
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    Chapter 34 Extending Entity-Relationship Models with Higher-Order Operators
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    Chapter 35 Combining Description Logics with Stratified Logic Programs in Knowledge Representation
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    Chapter 36 Emergence Measurement and Analyzes of Conceptual Abstractions during Evolution Simulation in OOD
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    Chapter 37 Using Intelligent Systems in Predictions of the Bacterial Causative Agent of an Infection
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    Chapter 38 An Intelligent Lessons Learned Process
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    Chapter 39 What the Logs Can Tell You: Mediation to Implement Feedback in Training
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    Chapter 40 Top-Down Query Processing in First Order Deductive Databases under the DWFS
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    Chapter 41 Discovering and Resolving User Intent in Heterogeneous Databases
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    Chapter 42 Discovering and Matching Elastic Rules from Sequence Databases
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    Chapter 43 Perception-Based Granularity Levels in Concept Representation
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    Chapter 44 Local Feature Selection with Dynamic Integration of Classifiers
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    Chapter 45 Prediction of Ordinal Classes Using Regression Trees
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    Chapter 46 Optimal Queries in Information Filtering
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    Chapter 47 Automatic Semantic Header Generator
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    Chapter 48 On Modeling of Concept Based Retrieval in Generalized Vector Spaces
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    Chapter 49 Template Generation for Identifying Text Patterns
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    Chapter 50 Qualitative Discovery in Medical Databases
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    Chapter 51 Finding Association Rules Using Fast Bit Computation: Machine-Oriented Modeling
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    Chapter 52 Using Closed Itemsets for Discovering Representative Association Rules
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    Chapter 53 Legitimate Approach to Association Rules under Incompleteness
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    Chapter 54 A Simple and Tractable Extension of Situation Calculus to Epistemic Logic
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    Chapter 55 Rule Based Abduction
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    Chapter 56 An Efficient Proof Method for Non-clausal Reasoning
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    Chapter 57 An Intelligent System Dealing with Complex Nuanced Information within a Statistical Context
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    Chapter 58 On the Complexity of Optimal Multisplitting
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    Chapter 59 Parametric Algorithms for Mining Share Frequent Itemsets
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    Chapter 60 Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies
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    Chapter 61 Foundations and Discovery of Operational Definitions
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    Chapter 62 A Multi-Agent Based Architecture for Distributed KDD Process
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    Chapter 63 Towards a Software Architecture for Case-based Reasoning Systems
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    Chapter 64 Knowledge Representation in Planning: A PDDL to OCL h Translation
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    Chapter 65 A Method and Language for Constructing Multiagent Systems
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    Chapter 66 A Formalism for Building Causal Polytree Structures Using Data Distributions
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    Chapter 67 Abstraction in Cartographic Generalization
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Title
Foundations of Intelligent Systems
Published by
Springer Science & Business Media, September 2000
DOI 10.1007/3-540-39963-1
ISBNs
978-3-54-041094-2, 978-3-54-039963-6
Editors

Raś, Zbigniew W., Ohsuga, Setsuo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Researcher 2 25%
Student > Master 1 13%
Student > Doctoral Student 1 13%
Professor 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 6 75%
Engineering 1 13%
Unknown 1 13%