Agents and Data Mining Interaction 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cao, Longbing (Επιμελητής έκδοσης), Gorodetsky, Vladimir (Επιμελητής έκδοσης), Liu, Jiming (Επιμελητής έκδοσης), Weiss, Gerhard (Επιμελητής έκδοσης), Yu, Philip S. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5680
• Θέματα: Computer science.; Computer communication systems.; Software engineering.; Computer logic.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Computer Communication Networks.; Software Engineering.; Logics and Meanings of Programs.

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Agents and Data Mining Interaction, ADMI 2009, held in Budapest, Hungary in May 10-15, 2009 as an associated event of AAMAS 2009, the 8th International Joint Conference on Autonomous Agents...

Πίνακας περιεχομένων:

• Invited Talks and Papers
• Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering
• Knowledge-Based Reinforcement Learning for Data Mining
• Ubiquitous Intelligence in Agent Mining
• Agents Based Data Mining and Decision Support System
• Agent-Driven Data Mining
• Agent-Enriched Data Mining Using an Extendable Framework
• Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging
• A Self-Organized Multiagent System for Intrusion Detection
• Towards Cooperative Predictive Data Mining in Competitive Environments
• Data Mining Driven Agents
• Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform
• Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study
• A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents
• Agent Mining Applications
• Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation
• Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
• The Complex Dynamics of Sponsored Search Markets.