Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
PKDD
2015
Springer
14views Data Mining» more  PKDD 2015»
4 years 10 months ago
The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty
Abstract. We propose a probabilistic method for inferring the geographical locations of linked objects, such as users in a social network. Unlike existing methods, our model does n...
Eric Malmi, Arno Solin, Aristides Gionis
PKDD
2015
Springer
7views Data Mining» more  PKDD 2015»
4 years 10 months ago
SVR-based Modelling for the MoReBikeS Challenge: Analysis, Visualisation and Prediction
We present a solution to the MoReBikeS challenge in ECML PKDD 2015 conference by analysing data from different aspects, by visualising latent patterns, by building a set of featur...
Yu Chen, Peter Flach
PKDD
2015
Springer
16views Data Mining» more  PKDD 2015»
4 years 10 months ago
Robust Representation for Domain Adaptation in Network Security
The goal of domain adaptation is to solve the problem of di↵erent joint distribution of observation and labels in the training and testing data sets. This problem happens in many...
Karel Bartos, Michal Sofka
PKDD
2015
Springer
18views Data Mining» more  PKDD 2015»
4 years 10 months ago
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories
Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems. We present an approach based on trip matching and ens...
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra P...
PKDD
2015
Springer
11views Data Mining» more  PKDD 2015»
4 years 10 months ago
Real Time Detection and Tracking of Spatial Event Clusters
Natalia V. Andrienko, Gennady L. Andrienko, Georg ...
PKDD
2015
Springer
17views Data Mining» more  PKDD 2015»
4 years 10 months ago
Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach
Sensors and Internet-of-Things scenarios promise a wealth of interaction data that can be naturally represented by means of timevarying graphs. This brings forth new challenges for...
Anna Sapienza, André Panisson, Joseph Wu, L...
PKDD
2015
Springer
11views Data Mining» more  PKDD 2015»
4 years 10 months ago
An Exploratory Analysis of Multiple Multivariate Time Series
Our aim is to extend standard principal component analysis for non-time series data to explore and highlight the main structure of multiple sets of multivariate time series. To thi...
Lynne Billard, Ahlame Douzal Chouakria, Seyed Yase...
PKDD
2015
Springer
14views Data Mining» more  PKDD 2015»
4 years 10 months ago
Evidence of Temporal Artifacts in Social Networks
There has been extensive research on social networks and methods for specific tasks such as: community detection, link prediction, and tracing information cascades; and a recent e...
Matt Revelle, Carlotta Domeniconi, Aditya Johri
PKDD
2015
Springer
10views Data Mining» more  PKDD 2015»
4 years 10 months ago
Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms
Abstract. This work is in the context of kernel-based learning algorithms for sequence data. We present a probabilistic approach to automatically extract, from the output of such s...
Marina M.-C. Vidovic, Nico Görnitz, Klaus-Rob...
books