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ORCIDInternational Journal of Data Science and Analytics, Volume 9
Volume 9, Number 1, February 2020
- Vishnu Unnikrishnan
, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou:
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. 1-15 - Christos Anagnostopoulos, Peter Triantafillou:
Large-scale predictive modeling and analytics through regression queries in data management systems. 17-55 - Haofan Zhang, Ke Nian, Thomas F. Coleman, Yuying Li:
Spectral ranking and unsupervised feature selection for point, collective, and contextual anomaly detection. 57-75 - Jian Wang, Amar Duggasani:
Forecasting hotel reservations with long short-term memory-based recurrent neural networks. 77-94 - Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita:
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks. 95-111 - Chandrika Kamath:
Compressing unstructured mesh data from simulations using machine learning. 113-130
Volume 9, Number 2, March 2020
- Sofie De Cnudde, David Martens, Theodoros Evgeniou, Foster J. Provost:
A benchmarking study of classification techniques for behavioral data. 131-173 - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes. 175-195 - Bora Edizel, Francesco Bonchi, Sara Hajian, André Panisson, Tamir Tassa:
FaiRecSys: mitigating algorithmic bias in recommender systems. 197-213 - Harris V. Georgiou, Nikos Pelekis, Stylianos Sideridis, David Scarlatti, Yannis Theodoridis:
Semantic-aware aircraft trajectory prediction using flight plans. 215-228 - Kenneth David Strang:
Problems with research methods in medical device big data analytics. 229-240 - Shan Suthaharan:
A low-sensitivity quantitative measure for traffic safety data analytics. 241-256
Volume 9, Number 3, April 2020
- Ioanna Tsalouchidou, Ricardo Baeza-Yates, Francesco Bonchi, Kewen Liao, Timos Sellis:
Temporal betweenness centrality in dynamic graphs. 257-272 - Xun Wei, Xiaowang Kong, Yanfeng Zhang, Ge Yu:
PowerHash: a hybrid grouping scheme by leveraging power-law properties of data. 273-284 - Niko Reunanen, Tomi Räty, Juho J. Jokinen, Tyler Hoyt, David E. Culler:
Unsupervised online detection and prediction of outliers in streams of sensor data. 285-314 - Falco J. Bargagli Stoffi, Giorgio Gnecco:
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms. 315-337 - Poonam Goyal, Sonal Kumari, Sumit Sharma, Sundar Balasubramaniam, Navneet Goyal:
Parallel SLINK for big data. 339-359 - Tao Zhao, Hong Huang, Xiaoming Yao, Jarder Luo, Xiaoming Fu:
Predicting individual socioeconomic status from mobile phone data: a semi-supervised hypergraph-based factor graph approach. 361-372 - Francesco Bonchi, Sara Hajian, Bud Mishra, Daniele Ramazzotti:
Correction to: Exposing the probabilistic causal structure of discrimination. 373
Volume 9, Number 4, May 2020
- Qi Tan, Yang Liu, Jiming Liu:
Motif-aware diffusion network inference. 375-387 - Yuanyu Wan, Lijun Zhang:
Accelerating adaptive online learning by matrix approximation. 389-400 - Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
ICANE: interaction content-aware network embedding via co-embedding of nodes and edges. 401-414 - Gianni Costa, Riccardo Ortale:
Topic-aware joint analysis of overlapping communities and roles in social media. 415-429 - Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
GINN: gradient interpretable neural networks for visualizing financial texts. 431-445 - Kevin Dalleau, Miguel Couceiro, Malika Smaïl-Tabbone:
Unsupervised extra trees: a stochastic approach to compute similarities in heterogeneous data. 447-459
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