Volume 34, Number 6, November 2020
Correction to: A unified view of density-based methods for semi-supervised clustering and classification.

Jadson Castro Gertrudes Arthur Zimek Jörg Sander Ricardo J. G. B. Campello

DeepTable: a permutation invariant neural network for table orientation classification.

Maryam Habibi Johannes Starlinger Ulf Leser

InceptionTime: Finding AlexNet for time series classification.

Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt Jonathan Weber Geoffrey I. Webb Lhassane Idoumghar Pierre-Alain Muller François Petitjean

Bayesian mean-parameterized nonnegative binary matrix factorization.

Alberto Lumbreras Louis Filstroff Cédric Févotte

MIDIA: exploring denoising autoencoders for missing data imputation.

Qian Ma Wang-Chien Lee Tao-Yang Fu Yu Gu Ge Yu

Challenges in benchmarking stream learning algorithms with real-world data.

Vinícius M. A. de Souza Denis Moreira dos Reis André Gustavo Maletzke Gustavo E. A. P. A. Batista

Visualizing image content to explain novel image discovery.

Jake H. Lee Kiri L. Wagstaff

Credible seed identification for large-scale structural network alignment.

Chenxu Wang Yang Wang Zhiyuan Zhao Dong Qin Xiapu Luo Tao Qin

Introducing time series snippets: a new primitive for summarizing long time series.

Shima Imani Frank Madrid Wei Ding Scott E. Crouter Eamonn J. Keogh

Gaussian bandwidth selection for manifold learning and classification.

Ofir Lindenbaum Moshe Salhov Arie Yeredor Amir Averbuch

Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions.

Hannah Rae Kerner Kiri L. Wagstaff Brian D. Bue Danika F. Wellington Samantha Jacob Paul Horton James F. Bell Chiman Kwan Heni Ben Amor

ColluEagle: collusive review spammer detection using Markov random fields.

Zhuo Wang Runlong Hu Qian Chen Pei Gao Xiaowei Xu


Volume 34, Number 5, September 2020
CrawlSN: community-aware data acquisition with maximum willingness in online social networks.

Bay-Yuan Hsu Chia-Lin Tu Ming-Yi Chang Chih-Ya Shen

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations.

Shameem Ahamed Puthiya Parambath Sanjay Chawla

Deep soccer analytics: learning an action-value function for evaluating soccer players.

Guiliang Liu Yudong Luo Oliver Schulte Tarak Kharrat

Active learning for hierarchical multi-label classification.

Felipe Kenji Nakano Ricardo Cerri Celine Vens

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels.

Angus Dempster François Petitjean Geoffrey I. Webb

Large-scale network motif analysis using compression.

Peter Bloem Steven de Rooij

Treant: training evasion-aware decision trees.

Stefano Calzavara Claudio Lucchese Gabriele Tolomei Seyum Assefa Abebe Salvatore Orlando

Scalable attack on graph data by injecting vicious nodes.

Jihong Wang Minnan Luo Fnu Suya Jundong Li Zijiang Yang Qinghua Zheng

TEASER: early and accurate time series classification.

Patrick Schäfer Ulf Leser

Fair-by-design matching.

David García-Soriano Francesco Bonchi

Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling.

Xin Du Yulong Pei Wouter Duivesteijn Mykola Pechenizkiy

Delayed labelling evaluation for data streams.

Maciej Grzenda Heitor Murilo Gomes Albert Bifet

Introduction to the special issue of the ECML PKDD 2020 journal track.

Ira Assent Carlotta Domeniconi Aristides Gionis Eyke Hüllermeier


Volume 34, Number 4, July 2020
Efficient mining of the most significant patterns with permutation testing.

Leonardo Pellegrina Fabio Vandin

ABBA: adaptive Brownian bridge-based symbolic aggregation of time series.

Steven Elsworth Stefan Güttel

TEAGS: time-aware text embedding approach to generate subgraphs.

Saeid Hosseini Saeed Najafi Pour Ngai-Man Cheung Hongzhi Yin Mohammad Reza Kangavari Xiaofang Zhou

An ultra-fast time series distance measure to allow data mining in more complex real-world deployments.

Shaghayegh Gharghabi Shima Imani Anthony J. Bagnall Amirali Darvishzadeh Eamonn J. Keogh

struc2gauss: Structural role preserving network embedding via Gaussian embedding.

Yulong Pei Xin Du Jianpeng Zhang George Fletcher Mykola Pechenizkiy

Matrix profile goes MAD: variable-length motif and discord discovery in data series.

Michele Linardi Yan Zhu Themis Palpanas Eamonn J. Keogh

Counting frequent patterns in large labeled graphs: a hypergraph-based approach.

Jinghan Meng Napath Pitaksirianan Yi-Cheng Tu

The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.

Yan Zhu Shaghayegh Gharghabi Diego Furtado Silva Hoang Anh Dau Chin-Chia Michael Yeh Nader Shakibay Senobari Abdulaziz Almaslukh Kaveh Kamgar Zachary Zimmerman Gareth J. Funning Abdullah Mueen Eamonn J. Keogh

Guided sampling for large graphs.

Muhammad Irfan Yousuf Suhyun Kim


Volume 34, Number 3, May 2020
ptype: probabilistic type inference.

Taha Ceritli Christopher K. I. Williams James Geddes

Computing exact P-values for community detection.

Zengyou He Hao Liang Zheng Chen Can Zhao Yan Liu

Discrete-time survival forests with Hellinger distance decision trees.

Matthias Schmid Thomas Welchowski Marvin N. Wright Moritz Berger

An efficient K-means clustering algorithm for tall data.

Marco Capó Aritz Pérez José Antonio Lozano

TS-CHIEF: a scalable and accurate forest algorithm for time series classification.

Ahmed Shifaz Charlotte Pelletier François Petitjean Geoffrey I. Webb

Robust and sparse multigroup classification by the optimal scoring approach.

Irene Ortner Peter Filzmoser Christophe Croux

Model-based exception mining for object-relational data.

Fatemeh Riahi Oliver Schulte

MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification.

Carlos Andres Ferrero Lucas May Petry Luis Otávio Alvares Camila Leite da Silva Willian Zalewski Vania Bogorny

Relaxing the strong triadic closure problem for edge strength inference.

Florian Adriaens Tijl De Bie Aristides Gionis Jefrey Lijffijt Antonis Matakos Polina Rozenshtein


Volume 34, Number 2, March 2020
NegPSpan: efficient extraction of negative sequential patterns with embedding constraints.

Thomas Guyet René Quiniou

Integer programming ensemble of temporal relations classifiers.

Catherine Kerr Terri Hoare Paula Carroll Jakub Marecek

Parameterized low-rank binary matrix approximation.

Fedor V. Fomin Petr A. Golovach Fahad Panolan

Mining relaxed functional dependencies from data.

Loredana Caruccio Vincenzo Deufemia Giuseppe Polese

Identifying exceptional (dis)agreement between groups.

Adnene Belfodil Sylvie Cazalens Philippe Lamarre Marc Plantevit

SIAS-miner: mining subjectively interesting attributed subgraphs.

Anes Bendimerad Ahmad Mel Jefrey Lijffijt Marc Plantevit Céline Robardet Tijl De Bie

On normalization and algorithm selection for unsupervised outlier detection.

Sevvandi Kandanaarachchi Mario A. Muñoz Rob J. Hyndman Kate Smith-Miles

A survey and benchmarking study of multitreatment uplift modeling.

Diego Olaya Kristof Coussement Wouter Verbeke


Volume 34, Number 1, January 2020
FastEE: Fast Ensembles of Elastic Distances for time series classification.

Chang Wei Tan François Petitjean Geoffrey I. Webb

Deep multi-task learning for individuals origin-destination matrices estimation from census data.

Mehdi Katranji Sami Kraiem Laurent Moalic Guilhem Sanmarty Ghazaleh Khodabandelou Alexandre Caminada Fouad Hadj-Selem

Matching code and law: achieving algorithmic fairness with optimal transport.

Meike Zehlike Philipp Hacker Emil Wiedemann

A comparative study of data-dependent approaches without learning in measuring similarities of data objects.

Sunil Aryal Kai Ming Ting Takashi Washio Gholamreza Haffari

Grafting for combinatorial binary model using frequent itemset mining.

Taito Lee Shin Matsushima Kenji Yamanishi

Topical network embedding.

Min Shi Yufei Tang Xingquan Zhu Jianxun Liu Haibo He

A drift detection method based on dynamic classifier selection.

Felipe Azevedo Pinage Eulanda Miranda dos Santos João Gama

Interactive visual data exploration with subjective feedback: an information-theoretic approach.

Kai Puolamäki Emilia Oikarinen Bo Kang Jefrey Lijffijt Tijl De Bie

A semi-supervised model for knowledge graph embedding.

Jia Zhu Zetao Zheng Min Yang Gabriel Pui Cheong Fung Yong Tang