Über den Autor
In Lee is an associate professor in the Department of Information Management and Decision Sciences in the College of Business and Technology at Western Illinois University. He received his MBA from the University of Texas at Austin and Ph.D. from University of Illinois at Urbana-Champaign. He is a member of IRMA, Informs, and ACM.
1. Introduction; 2. Temporal Data Mining; 3. Spatial Data Mining; 4. Spatio-temporal Data Mining; 5. Mining Dense Periodic Patterns in Time Series Data; 6. Mining Topological Patterns in Spatial Data; 7. Mining Collocation Patterns in Spatio-temporal Data; 8. Mining Flow Patterns in Spatiotemporal data; 9. Mining Generalized Spatio-temporal Patterns; 10. Mining Spatio-temporal Graph Pattern; 11. Conclusions and Future Work.
E-business research is currently one of the most active research areas. With the rapid advancement in information technologies, e-business is growing in significance and is having a direct impact upon ways of doing business. As e-business becomes one of the most important areas in organizations, researchers and practitioners need to understand the implications of many technological and organizational changes taking place. Advances in E-Business Research: E-Business Innovation and Process Management provides researchers and practitioners with valuable information on recent advances and developments in emerging e-business models and technologies. This book covers a variety of topics, such as e-business models, e-business strategies, online consumer behavior, e-business process modeling and practices, electronic communication adoption and service provider strategies, privacy policies, and implementation issues.