Advances in Intelligent Information and Database Systems

Advances in Intelligent Information and Database Systems edited by Ngoc-Thanh Nguyen, Radoslaw Katarzyniak.

The book consists of 32 extended chapters which have been based on selected submissions to the poster session organized during the 2nd Asian Conference on Intelligent Information and Database Systems (24-26 March 2010 in Hue, Vietnam). The book is organized into four parts devoted to information ret...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Nguyen, Ngoc-Thanh (Editor), Katarzyniak, Radoslaw (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Studies in Computational Intelligence, 283
Springer eBook Collection.
Subjects:
Artificial intelligence.
Data structures (Computer science).
Computational intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Information Retrieval and Management
  • A Construction of Hierarchical Rough Set Approximations in Information Systems Using Dependency of Attributes
  • Percentages of Rows Read by Queries as an Operational Database Quality Indicator
  • Question Semantic Analysis in Vietnamese QA System
  • Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search
  • Indexing Spatial Objects in Stream Data Warehouse
  • Real Time Measurement and Visualization of ECG on Mobile Monitoring Stations of Biotelemetric System
  • A Search Engine Log Analysis of Music-Related Web Searching
  • Data Hiding Based on Compressed Dithering Images
  • Reliable Improvement for Collective Intelligence on Thai Herbal Information
  • Semantic Compression for Specialised Information Retrieval Systems
  • Service Composition and User-Centered Approach
  • Service Mining for Composite Service Discovery
  • An Adaptive Grid-Based Approach to Location Privacy Preservation
  • View Driven Federation of Choreographies
  • Semantic Battlespace Data Mapping Using Tactical Symbology
  • A Method for Scenario Modification in Intelligent E-Learning Systems Using Graph-Based Structure of Knowledge
  • Development of the E-Learning System Supporting Online Education at the Polish-Japanese Institute of Information Technology
  • Evolutionally Improved Quality of Intelligent Systems Following Their Users’ Point of View
  • Data Mining and Knowledge Extraction
  • Mining the Most Generalization Association Rules
  • Structure of Set of Association Rules Based on Concept Lattice
  • Some Novel Heuristics for Finding the Most Unusual Time Series Subsequences
  • Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules
  • An Integrated Approach for Exploring Path-Type Association Rules
  • A Framework of Rough Clustering for Web Transactions
  • Fuzzy Bayesian Belief Network for Analyzing Medical Track Record
  • An Experiment Model of Grounded Theory and Chance Discovery for Scenario Exploration
  • Computational Intelligence
  • Using Tabu Search for Solving a High School Timetabling Problem
  • Risk Management Evaluation Based on Elman Neural Network for Power Plant Construction Project
  • A New Approach to Multi-criteria Decision Making (MCDM) Using the Fuzzy Binary Relation of the ELECTRE III Method and the Principles of the AHP Method
  • A Routing Method Based on Cost Matrix in Ad Hoc Networks
  • A Fusion Approach for Multi-criteria Evaluation
  • Algorithmic Aspects of the Reachability of Conflicting Chip Firing Game
  • Neurofuzzy Decision-Making Approach for the Next Day Portfolio Thai Stock Index Management Trading Strategies.

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