The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Learning transportation mode from raw gps data for geographic applications on the web
Abstract
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning knowledge from users ’ raw GPS data can provide rich context information for both geographic and mobile applications. However, so far, raw GPS data are still used directly without much understanding. In this paper, an approach based on supervised learning is proposed to automatically infer transportation mode from raw GPS data. The transportation mode, such as walking, driving, etc., implied in a user’s GPS data can provide us valuable knowledge to understand the user. It also enables context-aware computing based on user’s present transportation mode and design of an innovative user interface for Web users. Our approach consists of three parts: a change point-
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Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Lafferty, J., McCallum, A., & Pereira, F. C. N. (2001) · ScholarlyCommons (University of Pennsylvania) · Cited by 12,935
Using GPS to learn significant locations and predict movement across multiple users
Ashbrook, D., & Starner, T. E. (2003) · Personal and Ubiquitous Computing · doi:10.1007/s00779-003-0240-0 · Cited by 1,067
Learning and inferring transportation routines
Liao, L., Patterson, D. J., Fox, D., & Kautz, H. (2007) · Artificial Intelligence · doi:10.1016/j.artint.2007.01.006 · Cited by 810
Inferring High-Level Behavior from Low-Level Sensors
Patterson, D. J., Liao, L., Fox, D., & Kautz, H. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39653-6_6 · Cited by 521
Predestination: Inferring Destinations from Partial Trajectories
Krumm, J. C., & Horvitz, E. (2006) · Lecture notes in computer science · doi:10.1007/11853565_15 · Cited by 463
Project Lachesis: Parsing and Modeling Location Histories
Hariharan, R., & Toyama, K. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30231-5_8 · Cited by 257
Geographic location tags on digital images
Toyama, K., Logan, R., & Roseway, A. (2003) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/957013.957046 · Cited by 254
Strachan, S., Eslambolchilar, P., Murray‐Smith, R., Hughes, S. A., & O’Modhrain, S. (2005) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/1085777.1085831 · Cited by 124
Building Personal Maps from GPS Data
Liao, L., Patterson, D. J., Fox, D., & Kautz, H. (2006) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1382.017 · Cited by 104
A mobile application framework for the geospatial web
Simon, R., & Fröhlich, P. (2007) · International World Wide Web Conference (WWW) · doi:10.1145/1242572.1242624 · Cited by 68
Research works printed but not linked: 5
- Project, 2004, Proceedings of GIScienc'04 (Hariharan Toyama
- Liao L., 2005, IJCAI MOO05
- 10.5555/1597148.1597206 · DOI
- Lafferty J., 2001, Proceedings of the 18th International Conf. on Machine Learning (San Francisco CA
- Wasinger R., 2003, Exploration System. In Proceedings of MobileHCI '03
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Zheng, Y., Zhang, L., Xie, X., & Ma, W. (2009) · International World Wide Web Conference (WWW) · doi:10.1145/1526709.1526816 · Cited by 1,957
Self-citationZheng, Y. (2015) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2743025 · Cited by 1,667
Self-citationZheng, Y., Capra, L., Wolfson, O., & Yang, H. (2014) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2629592 · Cited by 1,514
Self-citationA survey of methods for time series change point detection
Aminikhanghahi, S., & Cook, D. J. (2016) · Knowledge and Information Systems · doi:10.1007/s10115-016-0987-z · Cited by 1,246
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.
Zheng, Y., Xie, X., & Ma, W. (2010) · Cited by 1,117
Self-citation
Metadata
- Authors
- Zheng, Y., Liu, L., Wang, L., & Xie, X.
- Affiliations
- Microsoft Research Asia (China) (CN)
- Venue
- Proceedings of the 17th international conference on World Wide Web
- Publisher
- ACM
- Published
- 2008-04-21
- Pages
- 247-256
- OpenAlex
- W2143394441
- Cited by
- 616
- References
- 14
- Citations by year
- 2026: 10 · 2025: 27 · 2024: 27 · 2023: 38 · 2022: 29 · 2021: 44 · 2020: 43 · 2019: 46 · 2018: 51 · 2017: 36 · 2016: 56 · 2015: 41 · 2014: 38 · 2013: 33 · 2012: 34
- FWCI
- 80.79
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International World Wide Web Conference (WWW) (publishedVersion)
- Topics
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Physical Sciences › Computer Science › Information Systems › Data Management and Algorithms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- GPS data, supervised learning, context-aware computing, change point detection, user activity recognition, user interface design
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