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Chapter III: A Multi-Agent Approach to Collaborative Knowledge Production
Figure 1: Multilevel Architecture of Marts for Knowledge Production
Figure 2: Sequence of Events for the Learning Object Evaluation Scenario
Figure 3: Execution Example of the Interaction Protocol
Chapter IV: Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning
Figure 1: Taxonomy of Web Data Mining (Adapted from Pyle, 1999, and Srivastava et al., 2000)
Figure 2: Research Methodology of Hybrid Recommendation
Figure 3: The Structure of CAR
Figure 4: Preprocessed Web Log Database
Figure 5: Case-Based Knowledge Base
Figure 6: Hybrid Recommendation Results of CAR
Chapter V: Rule-Based Parsing for Web Data Extraction
Figure 1: Generic Web Multi-Agent Based Architecture
Figure 2: Semi-Automatic Web Parser Architecture
Figure 3: Web Page Example and HTML Code with Several Types of Structures
Figure 4: HTML and DataOutput-Rules to Extract the Information Stored in the Selected Structures
Figure 5: Architecture for a Web Agent
Figure 6: SimpleNews Architecture
Figure 7: HTML and DataOutput-Rules to Extract the Headlines from the Web Page Request
Figure 8: Web Page Example and HTML Code Provided by http://www.elpais.es
Chapter VI: Multilingual Web Content MiningA User-Oriented Approach
Figure 1: User-Oriented, Concept-Based Approach for Multilingual Web Content Mining
Chapter VII: A Textual Warehouse ApproachA Web Data Repository
Figure 1: Architecture of Textual Warehouses
Figure 2: Generic Model of Textual Warehouses
Figure 3: Example of Logical Structure Determination for Well-Formed Documents
Figure 4: Example of Logical Structure Determination for Valid Documents
Figure 5: Visualization of a Multidimensional Table
Figure 6: Generic Logical Structure Chosen by the User
Figure 7: Generic Logical Structure Modified by the User
Figure 8: Schema of Textual Mart
Figure 9: Multidimensional Table "Distribution"
Chapter VIII: Text Processing by Binary Neural Networks
Figure 1: Learning (left side) and Recalling (right side) Phase of the Technique
Figure 2: Learning (left side) and Recalling (right side) Phases of CMM
Figure 3: Histogram of Letters for Non-Repeated English Words
Figure 4: The Comparison of Three Methods of Coding
Figure 5: The Comparison of Speed of Conventional Techniques and CMM
Chapter IX: Extracting Knowledge from Databases and ANNs with Genetic ProgrammingIris Flower Classification Problem
Figure 1: Distribution of the Three Classes
Figure 2: Distributions Obtained for the Three Classes
Figure 3: Distributions Obtained from the Rules and from the Training Set
Figure 4: Obtained ANN
Figure 5: Distribution Obtained of the Three Classes Produced by the Rules from the ANN
Chapter X: Social Coordination with Architecture for Ubiquitous Agents CONSORTS
Figure 1: Theme Park Problem
Figure 2: CONSORTS: Architecture for Ubiuitous Agents
Figure 3: Plans and Congestion in Resource Space
Chapter XI: Agent-Mediated Knowledge Acquisition for User Profiling
Figure 1: A Fragment of a User Model
Figure 2: Architecture for Knowledge-Acquisition Sub-System
Chapter XII: Development of Agent-Based Electronic Catalog Retrieval System
Figure 1: Examples of PLIB Catalog Dictionary and Content
Figure 2: Concept of Multi-Agent Framework Bee-Gent
Figure 3: System Architecture of Agent-Based Electronic Catalog Retrieval System
Chapter XIII: Using Dynamically Acquired Background Knowledge for Information Extraction and Intelligent Search
Figure 1: XML Representation of Background Knowledge
Figure 2: XML Representation of an Unindexed Document
Figure 3: System Components and Interactions
Chapter XV: Taxonomy Based Fuzzy Filtering of Search Results
Figure 1: Recall-Precision Diagram of the Logic Operators for NB Training
Figure 2: Recall-Precision Diagram of the Logic Operators for SVM Training
Figure 3: Client vs. Server-Sided Filtering Systems
Figure 4: Fuzzy Filtering on the Web
Chapter XVI: Generating and Adjusting Web Sub-Graph Displays for Web Navigation
Figure 1: A Web Sub-Graph Display
Figure 2: Some Sub-Graphs Become Visible After the User's Interaction
Figure 3: A Sub-Graph Becoming Visible Makes Another One Invisible
Figure 4: A Web Page Corresponding to a Node is Shown Up
Figure 5: Another Web Site and Its Web Graph
Figure 6: A Web Sub-Graph for the Focused Node "Dept"
Figure 7: Navigating the Web Graph from the Node "Dept" to the Nodes "Staff", etc.
Figure 8: An Abstract Graph Layout
Figure 9: A Practical Graph
Figure 10: Layout Adjustment
Chapter XVIII: Networking E-Learning Hosts Using Mobile Agents
Figure 1: Mobile Agent Paradigm
Figure 2: Faded Information Field
Figure 3: Thesaurus Module
Figure 4: AI Search Engine Architecture
Figure 5: Overall Architecture
Figure 6: Network Configuration
Figure 7: Mobile Agent Traversal
Figure 8: Client-Server Architecture
Figure 9: Response Time Comparison
Figure 10: Course Document Structure
Figure 11: Document Search Process
Figure 12: Keyword Expansion
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(ed.) Intelligent Agents for Data Mining and Information Retrieval
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 171
BUY ON AMAZON
The .NET Developers Guide to Directory Services Programming
Definition of ADAM
Searching for Deleted Objects
Using Attribute Scope Query
.NET Attribute Value Conversion
User Management
Lotus Notes and Domino 6 Development (2nd Edition)
Using Graphic Objects on Forms
Sharing Images Within a Database
How Does Domino Use XML?
Security and Domino Applications
Domino URL Identifiers
Software Configuration Management
Introduction to Software Configuration Management
Configuration Identification
Configuration Change Management
Appendix S Sample Maintenance Plan
Appendix U Acronyms and Glossary
VBScript Programmers Reference
Client-Side Web Scripting
Super-Charged Client-Side Scripting
Windows Script Host
Script Encoding
Appendix I VBScript Features not in VBA
Postfix: The Definitive Guide
Email and the Internet
Tracing a Message Through Postfix
Local Delivery and POP/IMAP
Anti-Spam Actions
Strict Syntax Parameters
Microsoft Visual Basic .NET Programmers Cookbook (Pro-Developer)
Numbers, Dates, and Other Data Types
Objects, Interfaces, and Patterns
Files and Directories
Web Services
Remoting and Enterprise Services
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