E-Service Intelligence

Methodologies, Technologies and Applications
2007
ISBN: 978-3-540-37015-4
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 37, 711 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1238 g

Reihe: Studies in Computational Intelligence

Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. E-Service Intelligence integrates intelligent techniques into e-service systems for realizing intelligent internet information searching, presentation, provision, recommendation, online system design, implementation, and assessment to internet users. This book offers a thorough introduction and systematic overview of the new field and covers the state-of-the-art of the research and development in E-Service Intelligence ranging from e-services and/or intelligent techniques to web information presentation, search, and mining, to personalization, privacy, and trust in e-services, to e-service evaluation, optimization and knowledge discovery, and to intelligent e-service system developments.

Zielgruppe

Research

Autoren/Hrsg.

Lu, Jie

Zhang, Guangquan

Ruan, Da

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing

Inhaltsverzeichnis

E-Services and Intelligent Techniques.- E-Service Intelligence: An Introduction.- Rough Sets and Conflict Analysis.- Rough Ontology Mapping in E-Business Integration.- Concept-based Semantic Web Search and Q&A.- E-Service Composition Tools from a Lifecycle Perspective.- Web Information Presentation, Search, and Mining.- Web Information Representation, Extraction, and Reasoning based on Existing Programming Technology.- Techniques and Technologies Behind Maps of Internet and Intranet Document Collections.- Exchange Rate Modelling for E-Negotiators Using Text Mining Techniques.- A Similarity-aware Web Content Caching Scheme and Agentbased Web Document Pre-fetching.- Representation and Discovery of Intelligent E-Services.- Learning the Nonlinear Dynamics of Cyberlearning.- Personalization, Privacy, and Trust in E-Services.- Personalizing E-Commerce with Data Mining.- Personal eBanking Solutions based on Semantic Web Services.- Secure E-Transactions Protocol using Intelligent Mobile Agents with Fair Privacy.- Trust and Reputation in E- ervices: Concepts, Models and Applications.- An Incremental Technique for Analyzing User Behaviors in an E-Business Environment.- Customer Experience Management in E-Services.- E-Service Evaluation, Optimization, and Knowledge Discovery.- E-Service Cost Benefit Evaluation and Analysis.- Evaluation of Experience-based Support for Organizational Employees.- A Web based Intelligent Sensory Evaluation System in the Textile Integrated Supply Chain.- E-intelligence in Portfolio Investment Optimization.- Orchestrating the Knowledge Discovery Process.- On the Knowledge Repository Design and Management in E-Learning.- Adding Value to E-Services: a Business-Oriented Model.- Intelligent E-Service Support System Developments.- Developing a Knowledge-based Intelligent Services System in Sports Websites.- Developing a Model Agent-based E-Commerce System.- Creating Visual Browsers for Large-Scale Online Auctions.- Design and Implementation of Multi-Agents for Learner-oriented Course Scheduling on the Internet.- AGrIP – Agent Grid Intelligence Platform.- Web-based Service Information Systems based on Fuzzy Linguistic Techniques and Semantic Web Technologies.- Application of Chaos-based Pseudo-Random-Bit Generators in Internet-based Online Payments.- Computer Hardware Devices in Efficient E-Servicing: Case Study of Disk Scheduling by Soft Computing.