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PKDD
2015
Springer
7views Data Mining» more  PKDD 2015»
4 years 10 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»
4 years 10 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...
PKDD
2015
Springer
43views Data Mining» more  PKDD 2015»
4 years 10 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...
PKDD
2015
Springer
8views Data Mining» more  PKDD 2015»
4 years 10 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....
PKDD
2015
Springer
25views Data Mining» more  PKDD 2015»
4 years 10 months ago
Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data
We present a Bayesian non-negative tensor factorization model for count-valued tensor data, and develop scalable inference algorithms (both batch and online) for dealing with massi...
Changwei Hu, Piyush Rai, Changyou Chen, Matthew Ha...
PKDD
2015
Springer
11views Data Mining» more  PKDD 2015»
4 years 10 months ago
Model Reuse with Subgroup Discovery
In this paper we describe a method to reuse models with Model-Based Subgroup Discovery (MBSD), which is a extension of the Subgroup Discovery scheme. The task is to predict the num...
Hao Song, Peter Flach
PKDD
2015
Springer
15views Data Mining» more  PKDD 2015»
4 years 10 months ago
Fuzzy Clustering of Series Using Quantile Autocovariances
Unlike conventional clustering, fuzzy cluster analysis allows data elements to belong to more than one cluster by assigning membership degrees of each data to clusters. This work p...
Borja R. Lafuente-Rego, José Antonio Vilar
PKDD
2015
Springer
8views Data Mining» more  PKDD 2015»
4 years 10 months ago
Named Entity Recognition from Scratch on Social Media
With the extensive amount of textual data flowing through social media platforms, the interest in Information Extraction (IE) on such textual data has increased. Named Entity Reco...
Kezban Dilek Kisa, Pinar Karagoz
PKDD
2015
Springer
10views Data Mining» more  PKDD 2015»
4 years 10 months ago
Limitations of Using Constraint Set Utility in Semi-Supervised Clustering
Abstract. Semi-supervised clustering algorithms allow the user to incorporate background knowledge into the clustering process. Often, this background knowledge is specified in th...
Toon van Craenendonck, Hendrik Blockeel
PKDD
2015
Springer
11views Data Mining» more  PKDD 2015»
4 years 10 months ago
Scalable Bayesian Matrix Factorization
Abstract. Matrix factorization (MF) is the simplest and most well studied factor based model and has been applied successfully in several domains. One of the standard ways to solve...
Avijit Saha, Rishabh Misra, Balaraman Ravindran
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