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Discovering Human Places of Interest from Multimodal Mobile Phone Data

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Discovering places of interest in everyday life from smartphone data

Daniel Gatica-Perez

In this paper, a new framework to discover places-of-interest from multimodal mobile phone data is presented. Mobile phones have been used as sensors to obtain location information from users’ real lives. A place-of-interest is defined as a location where ...

Springer2013

Structural cluster analysis of chemical reactions in solution

Fabio Pietrucci

We introduce a simple and general approach to the problem of clustering structures from atomic trajectories of chemical reactions in solution. By considering distance metrics which are invariant under permutation of identical atoms or molecules, we demonst ...

Amer Inst Physics2013

Where to go from here? Mobility prediction from instantaneous information

Patrick Thiran, Matthias Grossglauser, Ehsan Kazemi, Vincent Etter, Mohamed Kafsi

We present the work that allowed us to win the Next-Place Prediction task of the Nokia Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore the characteristics of their mobility traces. We then develop three families of ...

Elsevier Science Bv2013

Hypergraph Clustering for Better Network Traffic Inspection

Boi Faltings, Li Pu

Networked computing environments are subject to configuration errors, unauthorized users, undesired activities and attacks by malicious software. These can be detected by monitoring network traffic, but network administrators are overwhelmed by the amount ...

2011

Finding Audio-Visual Events in Informal Social Gatherings

In this paper we address the problem of detecting and localizing objects that can be both seen and heard, e.g., people. This may be solved within the framework of data clustering. We propose a new multimodal clustering algorithm based on a Gaussian mixture ...

2011

Robust and Hierarchical Stop Discovery in Sparse and Diverse Trajectories

Quoc Viet Hung Nguyen, Zhixian Yan, Le Hung Tran, Ngoc Hoan Do

The advance of GPS tracking technique brings a large amount of trajectory data. To better understand such mobility data, semantic models like “stop/move” (or inferring “activity”, “transportation mode”) recently become a hot topic for trajectory data analy ...

2011

Estimating and Learning the Trajectory of Mobile Phones

Mahdad Hosseini Kamal

This project is based on the ongoing data collection campaign by Nokia Re- search Center-Lausanne. We use location data sampled everyday by mobile phones in the campaign to estimate position of the participants. It is with emerging mobile systems that comb ...

2010

Business interest in Swiss climate policy

Alexandra Quandt

Business interest associations play an important role in the decision making process of climate policy. In 2009, the revision of the Swiss CO2 law for designing post-2012 climate policy is at stake. This paper analyzes the positions and arguments of the Sw ...

NCCR Climate2010

Tracking of Mobile Devices Through Bluetooth Contacts

Jean-Yves Le Boudec, Nikodin Ristanovic, Dang Khoa Tran

We investigate if it is possible to reconstruct a mobile phone’s mobility using its Bluetooth contacts with other mobile devices, some of which are equipped with GPS receivers. Our data mining analysis, based on two different data sets, shows that in certa ...

ACM2010

Analysing the temporal dynamics of model performance for hydrological models

Bettina Schaefli

The temporal dynamics of hydrological model performance gives insights into errors that cannot be obtained from global performance measures assigning a single number to the fit of a simulated time series to an observed reference series. These errors can in ...

European Geosciences Union2009