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» Parameter-Free Spatial Data Mining Using MDL
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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 9 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
WWW
2001
ACM
14 years 8 months ago
Efficient Acquisition of Web Data through Restricted Query Interfaces
A wealth of information is available on the Web. But often, such data are hidden behind form interfaces which allow only a restrictive set of queries over the underlying databases...
Cláudio T. Silva, Juliana Freire, Simon Bye...
ICDCS
2012
IEEE
11 years 10 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
WWW
2009
ACM
14 years 8 months ago
Mapping the world's photos
We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analy...
David J. Crandall, Lars Backstrom, Daniel P. Hutte...
GIS
2010
ACM
13 years 6 months ago
Finding similar users using category-based location history
In this paper, we aim to estimate the similarity between users according to their GPS trajectories. Our approach first models a user’s GPS trajectories with a semantic location ...
Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie