Joint and individual variations in heterogeneous traffic data sets

• 主要作者: Jere, Shashank Harish
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Final Year Project
• 語言: English
• 出版: 2014
• 主題: DRNTU::Engineering::Computer science and engineering::Information systems::Models and principles
• 在線閱讀: 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...