Flylib.com
(ed.) Intelligent Agents for Data Mining and Information Retrieval
(ed.) Intelligent Agents for Data Mining and Information Retrieval
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 171
BUY ON AMAZON
Table of Contents
BackCover
Intelligent Agents for Data Mining and Information Retrieval
Preface
Chapter I: Potential Cases, Database Types, and Selection Methodologies for Searching Distributed Text Databases
PROBLEM DESCRIPTION
POTENTIAL SELECTION CASES IN DTDS
THE CLASSIFICATION OF TYPES OF DTDS
RELATIONSHIPS BETWEEN POTENTIAL SELECTION CASES AND DTD TYPES
NECESSARY CONSTRAINTS OF SELECTION METHODS IN DTDS
CONCLUSION AND FUTURE WORK
ACKNOWLEDGMENTS
REFERENCES
Chapter II: Computational Intelligence Techniques Driven Intelligent Agents for Web Data Mining and Information Retrieval
SEARCH ENGINES
INTELLIGENT AGENTS
INTELLIGENT AGENTS FOR INFORMATION FILTERING AND DATA MINING
EVOLUTIONARY COMPUTING, FUZZY LOGIC AND I-AGENTS FOR INFORMATION FILTERING
SIMULATION RESULTS
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
ELECTRONIC REFERENCES
Chapter III: A Multi-Agent Approach to Collaborative Knowledge Production
A KNOWLEDGE PRODUCTION ARCHITECTURE
EVALUATION IN AN INSTRUCTIONAL DESIGN SCENARIO
CONCLUSION
REFERENCES
Chapter IV: Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning
BACKGROUND
METHODOLOGY
IMPLEMENTATION
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
Chapter V: Rule-Based Parsing for Web Data Extraction
INTRODUCTION
GENERIC MULTI-AGENT WEB ARCHITECTURE
WEBPARSER: SEMI-AUTOMATIC WEB KNOWLEDGE EXTRACTION
DEPLOYING A WEB-MAS USING THE WEBPARSER
CONCLUSIONS AND FUTURE WORK
REFERENCES
Chapter VI: Multilingual Web Content Mining - A User-Oriented Approach
BACKGROUND
USER-ORIENTED, CONCEPT-BASED APPROACH
TOWARD INTELLIGENT PERSONAL MULTILINGUAL WEB MINING AGENT
CONCLUSION
REFERENCES
Chapter VII: A Textual Warehouse Approach - A Web Data Repository
BACKGROUND
DEFINITION AND ARCHITECTURE OF TEXTUAL WAREHOUSES
GENERIC MODEL OF TEXTUAL WAREHOUSES
INFORMATION EXTRACTION
INFORMATION RETRIEVAL
MULTIDIMENSIONAL ANALYSIS
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
APPENDIX
Chapter VIII: Text Processing by Binary Neural Networks
TECHNIQUE DESCRIPTION
TEXT CODING AND EXPERIMENTS
DISCUSSION
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
Chapter IX: Extracting Knowledge from Databases and ANNs with Genetic Programming - Iris Flower Classification Problem
BACKGROUND
RULE EXTRACTION FROM DATABASE WITH GP
RULE EXTRACTION FROM ANNS
FUTURE WORKS
CONCLUSION
REFERENCES
Chapter X: Social Coordination with Architecture for Ubiquitous Agents - CONSORTS
EXAMPLE: MASS USER SUPPORT IN THEME PARK
CONSORTS: ARCHITECTURE FOR UBIQUITOUS AGENTS
FORMALIZATION OF THE PROBLEM: RESOURCE SPACE, PLAN, UTILITY
APPROACHES TO THE PROBLEM
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter XI: Agent-Mediated Knowledge Acquisition for User Profiling
AGENT-SUPPORTED DYNAMIC PERSONALIZATION
PROPOSED USER MODEL
KNOWLEDGE ACQUISITION FOR USER MODEL
CONCLUSION
REFERENCES
ENDNOTES
Chapter XII: Development of Agent-Based Electronic Catalog Retrieval System
ELECTRONIC CATALOG RETRIEVAL SYSTEM
MULTI-AGENT FRAMEWORK BEE-GENT
DEVELOPMENT USING BEE-GENT
DISCUSSION OF ADVANTAGES
CONCLUSION
REFERENCES
Chapter XIII: Using Dynamically Acquired Background Knowledge for Information Extraction and Intelligent Search
BACKGROUND
PROBLEM SCOPE AND DEFINITION
MODELLING BLOCKS
SYSTEM OVERVIEW
RESULTS
FUTURE WORK
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
Chapter XIV: A Study on Web Searching - Overlap and Distance of the Search Engine Results
BACKGROUND
METHODOLOGY
EXPERIMENT RESULTS
DISCUSSION
FUTURE DIRECTIONS FOR RESEARCH
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
Chapter XV: Taxonomy Based Fuzzy Filtering of Search Results
TEXT CLASSIFICATION
ORDERED WEIGHTED AVERAGING OPERATORS
EVALUATION AND RESULTS
AN EXAMPLE FILTERING SYSTEM
CONCLUSION
REFERENCES
Chapter XVI: Generating and Adjusting Web Sub-Graph Displays for Web Navigation
EXAMPLES OF WEB GRAPH DISPLAYS
SYSTEM ARCHITECTURE
AUTOMATIC GRAPH LAYOUT TECHNIQUES
CONCLUSION AND FUTURE WORK
REFERENCES
Chapter XVII: An Algorithm of Pattern Match Being Fit for Mining Association Rules
ASSOCIATION RULES DESCRIPTION
PATTERN MATCH ANALYSIS
DESCRIPTION OF PATTERN MATCH ALGORITHM
ALGORITHM ANALYSIS
CONCLUSION
REFERENCES
Chapter XVIII: Networking E-Learning Hosts Using Mobile Agents
PARADIGMS FOR E-LEARNING SYSTEMS
ADVANTAGES AND DISADVANTAGES OF USING MOBILE AGENT APPROACH
E-LEARNING SYSTEMS
CASE EXAMPLE
A PROTOTYPE IMPLEMENTATION AND EXPERIMENT RESULTS
KEYWORD-BASED INFORMATION SEARCHING
CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
Index
Index_B
Index_C
Index_D
Index_E
Index_F
Index_G
Index_H
Index_I-J
Index_K
Index_L
Index_M
Index_N
Index_O
Index_P
Index_Q
Index_R
Index_S
Index_T
Index_U
Index_V
Index_W
Index_X-Z
List of Figures
List of Tables
List of Assumptions
(ed.) Intelligent Agents for Data Mining and Information Retrieval
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 171
BUY ON AMAZON
Crystal Reports 9 on Oracle (Database Professionals)
Oracle Structures
PL/SQL
Optimizing: Reducing Parses
Data Dictionary Report
The Crystal Repository
Microsoft Windows Server 2003(c) TCP/IP Protocols and Services (c) Technical Reference
Wide Area Network (WAN) Technologies
Address Resolution Protocol (ARP)
Point-to-Point Protocol (PPP)
Internet Protocol Version 6 (IPv6)
File and Printer Sharing
Visual C# 2005 How to Program (2nd Edition)
Computer Organization
Self-Review Exercises
Abstract Classes and Methods
Self-Review Exercises
G.7. Creating and Using Image Maps
802.11 Wireless Networks: The Definitive Guide, Second Edition
Encapsulation of Higher-Layer Protocols Within 802.11
Authentication
ERP Physical Layer Convergence (PLCP)
11 on the Macintosh
Network Analyzers
Telecommunications Essentials, Second Edition: The Complete Global Source (2nd Edition)
Analog and Digital Transmission
Satellite
The Organization of the Internet
Optical Networking Today and Tomorrow
A Brief History of Wireless Telecommunications
Cultural Imperative: Global Trends in the 21st Century
Cultural Spectacles
Cognitive Processes
The China Phenomenon
Appendix A Cultural Categorization Characteristics
Appendix C National Traits
flylib.com © 2008-2017.
If you may any questions please contact us: flylib@qtcs.net
Privacy policy
This website uses cookies. Click
here
to find out more.
Accept cookies