So far, this is my reading list for understanding the state of the art in location-based information pattern discovery.
- Projet Lachesis: Parsing and Modeling Location Histories, Hariharan, Toyama
- Extracting Places from Traces of Locations, Kang, Welbourne, Stewart, Borriello
- Monitoring Top-k Query in Wireless Sensor Networks, Xu, Wu, Tang, Lee
- Geographic Information Science: Defining the Field, Mark
- A Bibliography of Temporal, Spatial and Spatio-Temporal Data Mining Research, Roddick, Spiliopoulou
- Modeling Trasportation Routines using Hybrid Dyanmic Mixed Networks
- Toblers' First Law of Geography: A Big Idea for a Small World?, Sui
- Markovian Models for Sequential Data, Bengio
- Using Geospatial Information in Sensor Networks, Heidemann, Bulusu
- Bulding Personal Maps from GPS Data, Liao, Patterson, Fox, Kautz
- Processing Window Queries in Wireless Sensor Networks, Xu, Lee, Xu, Mitchell
- Location-Based Activity Recognition using Relational Markov Networks, Liao, Fox, Kautz
- Using GPS to Learn Significant Locations and Predict Movement Across Multiple Users, Ashbrook, Starner
- Temporal Data Management, Jensen, Snodgrass
- Learning and Inferring Transporation Routines, Liao, Fox, Kautz
- Inferring High-Level Behavior from Low-Level Sensors, Patterson, Liao, Fox, Kautz
I'm expecting these to lead me to others, but that should be a good start on a survey of the landscape.
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