Output details
11 - Computer Science and Informatics
Goldsmiths' College
Article title
Discovering routines from large-scale human locations using probabilistic topic models
Type
D - Journal article
Title of journal
ACM Transactions on Intelligent Systems and Technology
Article number
-
Volume number
2
Issue number
1
First page of article
n/a
ISSN of journal
21576904
Year of publication
2011
Number of additional authors
1
Additional information
<15> This journal is the 8th highest ranked in computer science, according to SCImago, with a 2012 impact factor of 5.576. The paper proposes a novel framework for discovering mobility patterns in mobile phone data, applying sophisticated unsupervised machine learning models to noisy real data. Methods based on feature visualisation (e.g. days, user types, locations) were used for validation. The paper has been widely cited, including by Facebook researchers in a PAMI (SCImago highest ranking CS journal) article. The paper directly led to an invitation to Farrahi to work with Sandy Pentland at the MIT Media Lab.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
20
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
