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PKDD
2015
Springer
6views Data Mining» more  PKDD 2015»
8 years 9 days ago
ProbLog2: Probabilistic Logic Programming
We present ProbLog2, the state of the art implementation of the probabilistic programming language ProbLog. The ProbLog language allows the user to intuitively build programs that ...
Anton Dries, Angelika Kimmig, Wannes Meert, Joris ...
PKDD
2015
Springer
10views Data Mining» more  PKDD 2015»
8 years 9 days ago
CourboSpark: Decision Tree for Time-series on Spark
With the deployment of smart meters across many countries, data are being collected at a large scale and volume. These data are collected for billing purposes but also to get analy...
Christophe Salperwyck, Simon Maby, Jér&ocir...
PKDD
2015
Springer
9views Data Mining» more  PKDD 2015»
8 years 9 days ago
A Peculiarity-based Exploration of Syntactical Patterns: a Computational Study of Stylistics
In this contribution, we present a computational stylistic study and comparison of classic French literary texts based on a datadriven approach where discovering interesting lingui...
Mohamed Amine Boukhaled, Francesca Frontini, Jean-...
PKDD
2015
Springer
10views Data Mining» more  PKDD 2015»
8 years 9 days ago
Learning Data Set Similarities for Hyperparameter Optimization Initializations
Abstract. Current research has introduced new automatic hyperparameter optimization strategies that are able to accelerate this optimization process and outperform manual and grid ...
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Th...
PKDD
2015
Springer
17views Data Mining» more  PKDD 2015»
8 years 9 days ago
Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks
Matrix factorizations are a popular tool to mine regularities from data. There are many ways to interpret the factorizations, but one particularly suited for data mining utilizes t...
Pauli Miettinen
PKDD
2015
Springer
14views Data Mining» more  PKDD 2015»
8 years 9 days ago
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization
The choice of an appropriate representation remains crucial for mining time series, particularly to reach a good trade-o between the dimensionality reduction and the stored inform...
Alexis Bondu, Marc Boullé, Antoine Cornu&ea...
PKDD
2015
Springer
18views Data Mining» more  PKDD 2015»
8 years 9 days ago
Structured Regularizer for Neural Higher-Order Sequence Models
Abstract. We introduce both neural higher-order linear-chain conditional random fields (NHO-LC-CRFs) and a new structured regularizer for these sequence models. We show that this ...
Martin Ratajczak, Sebastian Tschiatschek, Franz Pe...
PKDD
2015
Springer
10views Data Mining» more  PKDD 2015»
8 years 9 days ago
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters
We often encounter situations in supervised learning where there exist possibly groups that consist of more than two parameters. For example, we might work on parameters that corre...
Takeuchi Koh, Yoshinobu Kawahara, Tomoharu Iwata
PKDD
2015
Springer
9views Data Mining» more  PKDD 2015»
8 years 9 days ago
Discovering Opinion Spammer Groups by Network Footprints
Online reviews are an important source for consumers to evaluate products/services on the Internet (e.g. Amazon, Yelp, etc.). However, more and more fraudulent reviewers write fake...
Junting Ye, Leman Akoglu