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Data Mining and Knowledge Discovery

Content (14 Articles)

Open Access

Mining communities and their descriptions on attributed graphs: a survey

Martin Atzmueller, Stephan Günnemann, Albrecht Zimmermann

Open Access

Deep graph similarity learning: a survey

Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu

Open Access

Detecting virtual concept drift of regressors without ground truth values

Emilia Oikarinen, Henri Tiittanen, Andreas Henelius, Kai Puolamäki

ForestDSH: a universal hash design for discrete probability distributions

Arash Gholami Davoodi, Sean Chang, Hyun Gon Yoo, Anubhav Baweja, Mihir Mongia, Hosein Mohimani

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency

Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet

FuseRec: fusing user and item homophily modeling with temporal recommender systems

Kanika Narang, Yitong Song, Alexander Schwing, Hari Sundaram

Time series motifs discovery under DTW allows more robust discovery of conserved structure

Sara Alaee, Ryan Mercer, Kaveh Kamgar, Eamonn Keogh

Word-class embeddings for multiclass text classification

Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani

Open Access

Dataset2Vec: learning dataset meta-features

Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka

Sparse randomized shortest paths routing with Tsallis divergence regularization

Pierre Leleux, Sylvain Courtain, Guillaume Guex, Marco Saerens

Time series extrinsic regression

Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb

Open Access

Multi-label learning with missing and completely unobserved labels

Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi

Sequential recommendation with metric models based on frequent sequences

Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit

Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches

Lu Wang, Dongxiao Zhu

Includes a Special Section on Mining for Health

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Springer Professional

Data Mining and Knowledge Discovery

Issue 3/2021

Content (14 Articles)

Mining communities and their descriptions on attributed graphs: a survey

Deep graph similarity learning: a survey

Detecting virtual concept drift of regressors without ground truth values

ForestDSH: a universal hash design for discrete probability distributions

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency

FuseRec: fusing user and item homophily modeling with temporal recommender systems

Time series motifs discovery under DTW allows more robust discovery of conserved structure

Word-class embeddings for multiclass text classification

Dataset2Vec: learning dataset meta-features

Sparse randomized shortest paths routing with Tsallis divergence regularization

Time series extrinsic regression

Multi-label learning with missing and completely unobserved labels

Sequential recommendation with metric models based on frequent sequences

Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches

Current Publications

Data Mining and Knowledge Discovery 2/2024

Data Mining and Knowledge Discovery 1/2024

Data Mining and Knowledge Discovery 6/2023

Data Mining and Knowledge Discovery 5/2023

Data Mining and Knowledge Discovery 4/2023

Data Mining and Knowledge Discovery 3/2023

Data Mining and Knowledge Discovery 2/2023

Data Mining and Knowledge Discovery 1/2023

Data Mining and Knowledge Discovery 6/2022

Data Mining and Knowledge Discovery 5/2022

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