ACM Transactions on Intelligent Systems and Technology· 2015Q1· Review
Trajectory Data Mining
- 1,631citations
- Q1SCImago
- 2015year
Short summary
This survey systematically reviews trajectory data mining techniques, covering data derivation, preprocessing, management, and diverse mining tasks like pattern mining and outlier detection.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Signal Processing
Signal ProcessingComputer Science