'Trajectory data' presentation slideshows

Roteiro

596 views • 46 slides

Roteiro

675 views • 44 slides

Trajectory Data Mining and Management

Trajectory Data Mining and Management. Hsiao-Ping Tsai ??? @ CSIE, YuanZe Uni. 2009.12.04 ? ? ? ? ? ?. Outline. Introduction to Data Mining Background of Trajectory Data Mining Part I: Group Movement Patterns Mining Part II: Semantic Data Compression.

690 views • 44 slides

Trajectory Data Mining and Management

Trajectory Data Mining and Management. Hsiao-Ping Tsai ??? @ CSIE, YuanZe Uni. 2009.12.04 ? ? ? ? ? ?. Outline. Introduction to Data Mining Background of Trajectory Data Mining Part I: Group Movement Patterns Mining Part II: Semantic Data Compression.

678 views • 44 slides

Roteiro

574 views • 44 slides

GeoPKDD

453 views • 31 slides

Discovering Similar Multidimensional Trajectories

Discovering Similar Multidimensional Trajectories. ICDE, San Jose, CA, 2002. Outline. Introduction Similarity Measures Compute the Similarity Indexing Trajectories Experimental Evaluation Related Work Conclusion. Introduction.

457 views • 25 slides

Discovering Similar Multidimensional Trajectories

Discovering Similar Multidimensional Trajectories. ICDE, San Jose, CA, 2002. Outline. Introduction Similarity Measures Compute the Similarity Indexing Trajectories Experimental Evaluation Related Work Conclusion. Introduction.

317 views • 25 slides

Advanced Rappture Concepts and Tips

287 views • 20 slides

4D TRAD Progress

301 views • 18 slides

FOR0383 Software Quality Assurance

FOR0383 Software Quality Assurance. Lecture 2 ESA Ariane 5 Rocket Flight 501. 4 June 1996. at ~40 seconds into launch at an altitude of ~3700m the launcher veered off path and began to break up the self-destruct system was triggered ~$500 million (uninsured, maiden flight)

270 views • 18 slides

Direction-Preserving Trajectory Simplification

Direction-Preserving Trajectory Simplification. Cheng Long , Raymond Chi-Wing Wong The Hong Kong University of Science and Technology H. V. Jagadish : University of Michigan 29 August, 2013 . Trajectory data. Trajectory data is ubiquitous.

396 views • 15 slides

Query Answering on Trajectory Cuboids using Prime Numbers Encodings

Query Answering on Trajectory Cuboids using Prime Numbers Encodings. Elio Masciari ICAR-CNR. IDEAS Conference Lisbon September2011. Trajectory Data Prime Numbers Encoding for Paths Warehousing Steps Experimental Evaluation Conclusions. Outline.

217 views • 14 slides

2010/07/15

ANALYSIS OF USER TRAJECTORIES BASED ON DATA DISTRIBUTION AND STATE TRANSITION: A CASE STUDY WITH A MASSIVELY MULTIPLAYER ONLINE GAME ANGEL LOVE ONLINE. Proceedings of GAMEON 2009 Nov, 2009, P56-60 Authors: Ruck Thawonmas, Junichi Oda and Kuan-Ta Chen

235 views • 14 slides

Critical Analysis Presentation: T-Drive: Driving Directions based on Taxi Trajectories

Critical Analysis Presentation: T-Drive: Driving Directions based on Taxi Trajectories. Authors of Paper: Jing Yuan, Yu Zheng , Chengyang Zhang, Weilei Xie , Xing Xie , Guangzhong Sun, Yan Huang Presentation by: Yashu Chamber, Zhe Jiang CSCI: 8715 Instructor: Dr. Shashi Shekhar.

329 views • 12 slides

PostTrajectory : Querying and Managing GPS and Trajectories on PostgreSQL/ PostGIS

PostTrajectory : Querying and Managing GPS and Trajectories on PostgreSQL/ PostGIS. KiHyun Yoo E-mail : khyoo1221@gmail.com. Introduction. In modern cities, many people drive the vehicles that equipped with the GPS devices It is easily being collected and stored the GPS data

97 views • 9 slides

From Trajectories of Moving Objects to Route-Based Traffic Prediction and Management

From Trajectories of Moving Objects to Route-Based Traffic Prediction and Management. Developing a Benchmark for Using Trajectories of Moving Objects in Traffic Prediction and Management. by Gyozo Gidofalvi Ehsan Saqib Presented by Bo Mao. Route-Based Traffic Prediction and Management.

299 views • 6 slides

RL via Practice and Critique Advice Kshitij Judah, Saikat Roy, Alan Fern and Tom Dietterich

Solution Approach. RL via Practice and Critique Advice Kshitij Judah, Saikat Roy, Alan Fern and Tom Dietterich. Earlier Work. Expected Utility U( ? ,T). Reinforcement Learning. High level rules as advice for RL

156 views • 1 slides

Walking in the Crowd: Anonymizing Trajectory Data for Pattern Analysis

Walking in the Crowd: Anonymizing Trajectory Data for Pattern Analysis Noman Mohammed, Benjamin C. M. Fung, Mourad Debbabi Concordia University, Montreal, Canada. Introduction. Anonymization Algorithm. Empirical Study.

154 views • 1 slides

Walking in the Crowd: Anonymizing Trajectory Data for Pattern Analysis

Walking in the Crowd: Anonymizing Trajectory Data for Pattern Analysis Noman Mohammed, Benjamin C. M. Fung, Mourad Debbabi Concordia University, Montreal, Canada. Introduction. Anonymization Algorithm. Empirical Study.

133 views • 1 slides