Where to go from here? Mobility prediction from instantaneous information
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 …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
[PDF][PDF] Where to go from here? Mobility prediction from instantaneous information
V Etter, M Kafsi, E Kazemi… - Pervasive and Mobile …, 2013 - researchgate.net
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 …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
Where to go from here? Mobility prediction from instantaneous information
V Etter, M Kafsi, E Kazemi, M Grossglauser… - Pervasive and Mobile …, 2013 - dl.acm.org
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 …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
[引用][C] Where to go from here? Mobility prediction from instantaneous information
V Etter, M Kafsi, E Kazemi, M Grossglauser… - Pervasive and Mobile …, 2013 - cir.nii.ac.jp
Where to go from here? Mobility prediction from instantaneous information | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
[PDF][PDF] Where to go from here? Mobility prediction from instantaneous information
V Etter, M Kafsi, E Kazemi, M Grossglauser… - Pervasive and Mobile …, 2013 - Citeseer
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 …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
[引用][C] Where to go from here? Mobility prediction from instantaneous information
V ETTER, M KAFSI, E KAZEMI… - Pervasive and …, 2013 - pascal-francis.inist.fr
Where to go from here? Mobility prediction from instantaneous information CNRS Inist
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …
Where to go from here? Mobility prediction from instantaneous information
V Etter, M Kafsi, E Kazemi… - Pervasive And Mobile …, 2013 - infoscience.epfl.ch
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 …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
[PDF][PDF] Where to go from here? Mobility prediction from instantaneous information
V Etter, M Kafsi, E Kazemi, M Grossglauser… - Pervasive and Mobile …, 2013 - vincent.etter.io
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 …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
Where to go from here? Mobility prediction from instantaneous information
V Etter, M Kafsi, E Kazemi, M Grossglauser… - Pervasive and Mobile …, 2013 - infona.pl
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 …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …
[PDF][PDF] Where to go from here? Mobility prediction from instantaneous information
V Etter, M Kafsi, E Kazemi, M Grossglauser… - Pervasive and Mobile …, 2013 - vincent.etter.io
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 …
Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore …