FloTra: Flower-shape trajectory mining for instance-specific parameter tuning

• Main Authors: LINDAWATI, Lindawati, ZHU, Feida, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/1838; https://ink.library.smu.edu.sg/context/sis_research/article/2837/viewcontent/MIC_13.pdf
• Institution: Singapore Management University

The performance of a heuristic algorithm is highly dependent on its parameter configuration, yet finding a good parameter configuration is often a time-consuming task. In this paper we propose FloTra, a Flower graph mining for graph search Trajectory pattern extraction for generic instance-specific...