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114
Voted
PKDD
2015
Springer
11views Data Mining» more  PKDD 2015»
9 years 11 months ago
Online Analysis of High-Volume Data Streams in Astroparticle Physics
Experiments in high-energy astroparticle physics produce large amounts of data as continuous high-volume streams. Gaining insights from the observed data poses a number of challeng...
Christian Bockermann, Kai Brügge, Jens Buss, ...
103
Voted
PKDD
2015
Springer
7views Data Mining» more  PKDD 2015»
9 years 11 months ago
Temporal Density Extrapolation
Abstract. Mining evolving datastreams raises the question how to extrapolate trends in the evolution of densities over time. While approaches for change diagnosis work well for int...
Georg Krempl
PKDD
2015
Springer
30views Data Mining» more  PKDD 2015»
9 years 11 months ago
Adaptive Class Association Rule Mining for Human Activity Recognition
The analysis of human activity data is an important research area in the context of ubiquitous and social environments. Using sensor data obtained by mobile devices, e. g., utilizi...
Martin Atzmueller, Mark Kibanov, Naveed Hayat, Mat...
109
Voted
PKDD
2015
Springer
43views Data Mining» more  PKDD 2015»
9 years 11 months ago
Fast Inbound Top-K Query for Random Walk with Restart
Random walk with restart (RWR) is widely recognized as one of the most important node proximity measures for graphs, as it captures the holistic graph structure and is robust to no...
Chao Zhang, Shan Jiang, Yucheng Chen, Yidan Sun, J...
102
Voted
PKDD
2015
Springer
8views Data Mining» more  PKDD 2015»
9 years 11 months ago
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning
An important problem in multi-label classification is to capture label patterns or underlying structures that have an impact on such patterns. One way of learning underlying struc...
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J....