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Spatial autocorrelation and entropy for renewable energy forecasting
Ceci, Michelangelo, Corizzo, Roberto, Malerba, Donato, Rashkovska, Aleksandra
Published in Data mining and knowledge discovery (01.05.2019)
Published in Data mining and knowledge discovery (01.05.2019)
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On constrained spectral clustering and its applications
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Published in Data mining and knowledge discovery (01.01.2014)
Published in Data mining and knowledge discovery (01.01.2014)
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Matching code and law: achieving algorithmic fairness with optimal transport
Zehlike, Meike, Hacker, Philipp, Wiedemann, Emil
Published in Data mining and knowledge discovery (01.01.2020)
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An efficient K-means clustering algorithm for tall data
Capó, Marco, Pérez, Aritz, Lozano, Jose A.
Published in Data mining and knowledge discovery (01.05.2020)
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A framework for deep constrained clustering
Zhang, Hongjing, Zhan, Tianyang, Basu, Sugato, Davidson, Ian
Published in Data mining and knowledge discovery (01.03.2021)
Published in Data mining and knowledge discovery (01.03.2021)
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Word-class embeddings for multiclass text classification
Moreo, Alejandro, Esuli, Andrea, Sebastiani, Fabrizio
Published in Data mining and knowledge discovery (01.05.2021)
Published in Data mining and knowledge discovery (01.05.2021)
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Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)
Prabowo, Arian, Xue, Hao, Shao, Wei, Koniusz, Piotr, Salim, Flora D.
Published in Data mining and knowledge discovery (01.05.2024)
Published in Data mining and knowledge discovery (01.05.2024)
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Exceptional Model Mining: Supervised descriptive local pattern mining with complex target concepts
Duivesteijn, Wouter, Feelders, Ad J., Knobbe, Arno
Published in Data mining and knowledge discovery (01.01.2016)
Published in Data mining and knowledge discovery (01.01.2016)
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Clustering daily patterns of human activities in the city
Jiang, Shan, Ferreira, Joseph, González, Marta C.
Published in Data mining and knowledge discovery (01.11.2012)
Published in Data mining and knowledge discovery (01.11.2012)
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Attributed network embedding via subspace discovery
Zhang, Daokun, Yin, Jie, Zhu, Xingquan, Zhang, Chengqi
Published in Data mining and knowledge discovery (01.11.2019)
Published in Data mining and knowledge discovery (01.11.2019)
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Time series motifs discovery under DTW allows more robust discovery of conserved structure
Alaee, Sara, Mercer, Ryan, Kamgar, Kaveh, Keogh, Eamonn
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Published in Data mining and knowledge discovery (01.05.2021)
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Boosting house price predictions using geo-spatial network embedding
Das, Sarkar Snigdha Sarathi, Ali, Mohammed Eunus, Li, Yuan-Fang, Kang, Yong-Bin, Sellis, Timos
Published in Data mining and knowledge discovery (01.11.2021)
Published in Data mining and knowledge discovery (01.11.2021)
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A survey and benchmarking study of multitreatment uplift modeling
Olaya, Diego, Coussement, Kristof, Verbeke, Wouter
Published in Data mining and knowledge discovery (01.03.2020)
Published in Data mining and knowledge discovery (01.03.2020)
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Counterfactual explanations as interventions in latent space
Crupi, Riccardo, Castelnovo, Alessandro, Regoli, Daniele, San Miguel Gonzalez, Beatriz
Published in Data mining and knowledge discovery (01.09.2024)
Published in Data mining and knowledge discovery (01.09.2024)
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quant: a minimalist interval method for time series classification
Dempster, Angus, Schmidt, Daniel F., Webb, Geoffrey I.
Published in Data mining and knowledge discovery (01.07.2024)
Published in Data mining and knowledge discovery (01.07.2024)
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