nach oben

Data Mining and Knowledge Discovery

Inhalt (11 Artikel)

Open Access

Benchmarking and survey of explanation methods for black box models

Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo

Open Access

Hydra: competing convolutional kernels for fast and accurate time series classification

Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb

TIRPClo: efficient and complete mining of time intervals-related patterns

Omer Harel, Robert Moskovitch

Social norm bias: residual harms of fairness-aware algorithms

Myra Cheng, Maria De-Arteaga, Lester Mackey, Adam Tauman Kalai

Open Access

Bias characterization, assessment, and mitigation in location-based recommender systems

Pablo Sánchez, Alejandro Bellogín, Ludovico Boratto

Enforcing fairness using ensemble of diverse Pareto-optimal models

Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco

Efficient algorithms for fair clustering with a new notion of fairness

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

Fair detection of poisoning attacks in federated learning on non-i.i.d. data

Ashneet Khandpur Singh, Alberto Blanco-Justicia, Josep Domingo-Ferrer

Open Access

Parameterizing the cost function of dynamic time warping with application to time series classification

Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb

MrTF: model refinery for transductive federated learning

Xin-Chun Li, Yang Yang, De-Chuan Zhan

Open Access

Knowledge graph embedding methods for entity alignment: experimental review

Nikolaos Fanourakis, Vasilis Efthymiou, Dimitris Kotzinos, Vassilis Christophides

Aktuelle Ausgaben

Scrollen für mehr

Benutzen Sie die Pfeiltasten für mehr

Scrollen oder Pfeiltasten für mehr

Springer Professional

Data Mining and Knowledge Discovery

Ausgabe 5/2023

Inhalt (11 Artikel)

Benchmarking and survey of explanation methods for black box models

Hydra: competing convolutional kernels for fast and accurate time series classification

TIRPClo: efficient and complete mining of time intervals-related patterns

Social norm bias: residual harms of fairness-aware algorithms

Bias characterization, assessment, and mitigation in location-based recommender systems

Enforcing fairness using ensemble of diverse Pareto-optimal models

Efficient algorithms for fair clustering with a new notion of fairness

Fair detection of poisoning attacks in federated learning on non-i.i.d. data

Parameterizing the cost function of dynamic time warping with application to time series classification

MrTF: model refinery for transductive federated learning

Knowledge graph embedding methods for entity alignment: experimental review

Aktuelle Ausgaben

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