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Data Mining and Knowledge Discovery

Issue 4/2021

Includes a Special Section on Mining for Health

Content (22 Articles)

Homophily outlier detection in non-IID categorical data

Guansong Pang, Longbing Cao, Ling Chen

Open Access

Widening: using parallel resources to improve model quality

Michael R. Berthold, Alexander Fillbrunn, Arno Siebes

Open Access

Streaming changepoint detection for transition matrices

Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams

Correction

Correction to: Streaming changepoint detection for transition matrices

Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams

Open Access

Pseudoinverse graph convolutional networks

Dominik Alfke, Martin Stoll

Fast computation of Katz index for efficient processing of link prediction queries

Mustafa Coşkun, Abdelkader Baggag, Mehmet Koyutürk

A deep multimodal model for bug localization

Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong

Open Access

Extending greedy feature selection algorithms to multiple solutions

Giorgos Borboudakis, Ioannis Tsamardinos

Efficient set-valued prediction in multi-class classification

Thomas Mortier, Marek Wydmuch, Krzysztof Dembczyński, Eyke Hüllermeier, Willem Waegeman

Relational Learning Analysis of Social Politics using Knowledge Graph Embedding

Bilal Abu-Salih, Marwan Al-Tawil, Ibrahim Aljarah, Hossam Faris, Pornpit Wongthongtham, Kit Yan Chan, Amin Beheshti

What’s in a name? – gender classification of names with character based machine learning models

Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham

Handling imbalance in hierarchical classification problems using local classifiers approaches

Rodolfo M. Pereira, Yandre M. G. Costa, Carlos N. Silla Jr.

Open Access

CrashNet: an encoder–decoder architecture to predict crash test outcomes

Mohamed Karim Belaid, Maximilian Rabus, Ralf Krestel

Guest Editorial

Guest editorial: Special issue on mining for health

Myra Spiliopoulou, Panagiotis Papapetrou

Open Access

Adversarial balancing-based representation learning for causal effect inference with observational data

Xin Du, Lei Sun, Wouter Duivesteijn, Alexander Nikolaev, Mykola Pechenizkiy

Predictive modeling of infant mortality

Antonia Saravanou, Clemens Noelke, Nicholas Huntington, Dolores Acevedo-Garcia, Dimitrios Gunopulos

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