Joint and individual variations in heterogeneous traffic data sets

• المؤلف الرئيسي: Jere, Shashank Harish
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Final Year Project
• اللغة: English
• منشور في: 2014
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Information systems::Models and principles
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/61471

With a rise in the population of the world’s cities, understanding the dynamics of the commuters’ transportation patterns has become crucial in planning and management of urban facilities and services. In this paper, we explore two novel data mining techniques, namely, Joint and Individual Variation...