| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Active zero-shot learning: a novel approach to extreme multi-labeled classification
|
Xie, Sihong
|
|
2017
|
|
3 |
p. 151-160
|
artikel
|
| 2 |
AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks
|
Teffer, Dean
|
|
2018
|
|
3 |
p. 257-267
|
artikel
|
| 3 |
A fast scalable distributed kriging algorithm using Spark framework
|
Misra, Chandan
|
|
|
|
3 |
p. 249-264
|
artikel
|
| 4 |
Agenda-Setting for COVID-19: A Study of Large-Scale Economic News Coverage Using Natural Language Processing
|
Lu, Guang
|
|
|
|
3 |
p. 291-312
|
artikel
|
| 5 |
AI and data science for smart emergency, crisis and disaster resilience
|
Cao, Longbing
|
|
|
|
3 |
p. 231-246
|
artikel
|
| 6 |
Analyzing evolving stories in news articles
|
Camacho Barranco, Roberto
|
|
2017
|
|
3 |
p. 241-256
|
artikel
|
| 7 |
A new discrete XLindley distribution: theory, actuarial measures, inference, and applications
|
Eldeeb, Ahmed Sedky
|
|
|
|
3 |
p. 323-333
|
artikel
|
| 8 |
An incremental framework to extract coverage patterns for dynamic databases
|
Kaushik, Komallapalli
|
|
|
|
3 |
p. 273-291
|
artikel
|
| 9 |
An Information-theoretic approach to dimensionality reduction in data science
|
Mainali, Sambriddhi
|
|
|
|
3 |
p. 185-203
|
artikel
|
| 10 |
A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life
|
Buczynski, Wojtek
|
|
|
|
3 |
p. 221-242
|
artikel
|
| 11 |
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
|
Lucas, Benjamin
|
|
|
|
3 |
p. 247-266
|
artikel
|
| 12 |
A survey on machine learning methods for churn prediction
|
Geiler, Louis
|
|
|
|
3 |
p. 217-242
|
artikel
|
| 13 |
BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams
|
Hassani, Marwan
|
|
2017
|
|
3 |
p. 223-239
|
artikel
|
| 14 |
Biased resampling strategies for imbalanced spatio-temporal forecasting
|
Oliveira, Mariana
|
|
|
|
3 |
p. 205-228
|
artikel
|
| 15 |
Big data and precision medicine: challenges and strategies with healthcare data
|
Kraus, Johann M.
|
|
2018
|
|
3 |
p. 241-249
|
artikel
|
| 16 |
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms
|
Bargagli Stoffi, Falco J.
|
|
|
|
3 |
p. 315-337
|
artikel
|
| 17 |
Characterizing negative sentiments in at-risk populations via crowd computing: a computational social science approach
|
Garcia-Mancilla, Jesus
|
|
2018
|
|
3 |
p. 165-177
|
artikel
|
| 18 |
Classification of orbits in Poincaré maps using machine learning
|
Kamath, Chandrika
|
|
|
|
3 |
p. 305-321
|
artikel
|
| 19 |
Classifying sensitive content in online advertisements with deep learning
|
Austin, Daniel
|
|
|
|
3 |
p. 265-276
|
artikel
|
| 20 |
Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm
|
Behzadi, Sahar
|
|
|
|
3 |
p. 233-248
|
artikel
|
| 21 |
Cluster weighted model based on TSNE algorithm for high-dimensional data
|
Olobatuyi, Kehinde
|
|
|
|
3 |
p. 261-273
|
artikel
|
| 22 |
Combining instance and feature neighbours for extreme multi-label classification
|
Feremans, Len
|
|
|
|
3 |
p. 215-231
|
artikel
|
| 23 |
Comparison-based centrality measures
|
Rendsburg, Luca
|
|
|
|
3 |
p. 243-259
|
artikel
|
| 24 |
Conventional displays of structures in data compared with interactive projection-based clustering (IPBC)
|
Thrun, Michael C.
|
|
|
|
3 |
p. 249-271
|
artikel
|
| 25 |
Correction to: A consistently oriented basis for eigenanalysis
|
Damask, Jay
|
|
|
|
3 |
p. 293
|
artikel
|
| 26 |
Correction to: A recommendation system for scientific water data
|
Xue, Zhaokun
|
|
|
|
3 |
p. 295
|
artikel
|
| 27 |
Correction to: Exposing the probabilistic causal structure of discrimination
|
Bonchi, Francesco
|
|
|
|
3 |
p. 373
|
artikel
|
| 28 |
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire
|
Langguth, Johannes
|
|
|
|
3 |
p. 329-346
|
artikel
|
| 29 |
CPI-model-based analysis of sparse k-means clustering algorithms
|
Aoyama, Kazuo
|
|
|
|
3 |
p. 229-248
|
artikel
|
| 30 |
Data-driven analytics of COVID-19 ‘infodemic’
|
Wan, Minyu
|
|
|
|
3 |
p. 313-327
|
artikel
|
| 31 |
Data-driven discovery of causal interactions
|
Ma, Saisai
|
|
2019
|
|
3 |
p. 285-297
|
artikel
|
| 32 |
Data Science: a proposal for a curriculum
|
Kauermann, Göran
|
|
2018
|
|
3 |
p. 195-199
|
artikel
|
| 33 |
Data science as a language: challenges for computer science—a position paper
|
Siebes, Arno
|
|
2018
|
|
3 |
p. 177-187
|
artikel
|
| 34 |
Data science at SoBigData: the European research infrastructure for social mining and big data analytics
|
Grossi, Valerio
|
|
2018
|
|
3 |
p. 205-216
|
artikel
|
| 35 |
Data Science: the impact of statistics
|
Weihs, Claus
|
|
2018
|
|
3 |
p. 189-194
|
artikel
|
| 36 |
Declarative data analysis
|
Blockeel, Hendrik
|
|
2017
|
|
3 |
p. 217-223
|
artikel
|
| 37 |
DPISCAN: Distributed and parallel architecture with indexing for structural clustering of massive dynamic graphs
|
Kumar, D. K. Santhosh
|
|
|
|
3 |
p. 199-223
|
artikel
|
| 38 |
Efficient identification of Tanimoto nearest neighbors
|
Anastasiu, David C.
|
|
2017
|
|
3 |
p. 153-172
|
artikel
|
| 39 |
Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients
|
Frank, Till D.
|
|
|
|
3 |
p. 281-290
|
artikel
|
| 40 |
Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression
|
Lynch, Miranda L.
|
|
|
|
3 |
p. 305-318
|
artikel
|
| 41 |
Erratum to: $$L^{2}$$L2-norm transformation for improving k-means clustering
|
Sharma, Piyush Kumar
|
|
2017
|
|
3 |
p. 233-234
|
artikel
|
| 42 |
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization
|
Balasubramaniam, Thirunavukarasu
|
|
|
|
3 |
p. 267-280
|
artikel
|
| 43 |
Exploiting feature fusion and long-term context dependencies for simultaneous ECG heartbeat segmentation and classification
|
Qiu, Xi
|
|
|
|
3 |
p. 181-193
|
artikel
|
| 44 |
Fading histograms in detecting distribution and concept changes
|
Sebastião, Raquel
|
|
2017
|
|
3 |
p. 183-212
|
artikel
|
| 45 |
Feature range analysis
|
Khasidashvili, Zurab
|
|
|
|
3 |
p. 195-219
|
artikel
|
| 46 |
FIRE: a two-level interactive visualization for deep exploration of association rules
|
Mukherji, Abhishek
|
|
2018
|
|
3 |
p. 201-226
|
artikel
|
| 47 |
Granger causality-based cluster sequence mining for spatio-temporal causal relation mining
|
Pavasant, Nat
|
|
|
|
3 |
p. 275-288
|
artikel
|
| 48 |
Graph neural networks for multivariate time series regression with application to seismic data
|
Bloemheuvel, Stefan
|
|
|
|
3 |
p. 317-332
|
artikel
|
| 49 |
Hiding outliers in high-dimensional data spaces
|
Steinbuss, Georg
|
|
2017
|
|
3 |
p. 173-189
|
artikel
|
| 50 |
HierFlat: flattened hierarchies for improving top-down hierarchical classification
|
Naik, Azad
|
|
2017
|
|
3 |
p. 191-208
|
artikel
|
| 51 |
HUFTI-SPM: high-utility and frequent time-interval sequential pattern mining from transactional databases
|
Ritika,
|
|
|
|
3 |
p. 239-250
|
artikel
|
| 52 |
Identification of token contracts on Ethereum: standard compliance and beyond
|
Di Angelo, Monika
|
|
|
|
3 |
p. 333-352
|
artikel
|
| 53 |
Identifying key factors of student academic performance by subgroup discovery
|
Helal, Sumyea
|
|
2018
|
|
3 |
p. 227-245
|
artikel
|
| 54 |
Identifying Pareto-based solutions for regression subset selection via a feasible solution algorithm
|
Lambert, Joshua W
|
|
|
|
3 |
p. 277-284
|
artikel
|
| 55 |
Identity2Vec: learning mesoscopic structural identity representations via Poisson probability metric
|
Oluigbo, Ikenna Victor
|
|
|
|
3 |
p. 249-260
|
artikel
|
| 56 |
Integrated hesitant fuzzy-based decision-making framework for evaluating sustainable and renewable energy
|
Sahu, Kavita
|
|
|
|
3 |
p. 371-390
|
artikel
|
| 57 |
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining
|
Read, Jesse
|
|
2019
|
|
3 |
p. 221-222
|
artikel
|
| 58 |
Introduction to the special issue on Data Science in Europe
|
Flach, Peter
|
|
2018
|
|
3 |
p. 163-165
|
artikel
|
| 59 |
Knowledgebase approximation using association rule aggregation
|
Mehrannia, Pouya
|
|
|
|
3 |
p. 225-237
|
artikel
|
| 60 |
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities
|
Dao, Bo
|
|
2017
|
|
3 |
p. 209-231
|
artikel
|
| 61 |
Learning to discover medicines
|
Nguyen, Minh-Tri
|
|
|
|
3 |
p. 301-316
|
artikel
|
| 62 |
Location identification for real estate investment using data analytics
|
Sandeep Kumar, E.
|
|
2019
|
|
3 |
p. 299-323
|
artikel
|
| 63 |
Modelling the electrical energy profile of a batch manufacturing pharmaceutical facility
|
Mulrennan, Konrad
|
|
|
|
3 |
p. 285-300
|
artikel
|
| 64 |
Multi-instance embedding learning with deconfounded instance-level prediction
|
Zhang, Yu-Xuan
|
|
|
|
3 |
p. 391-401
|
artikel
|
| 65 |
Official statistics in the era of big data opportunities and threats
|
Radermacher, Walter J.
|
|
2018
|
|
3 |
p. 225-231
|
artikel
|
| 66 |
Online conformance checking: relating event streams to process models using prefix-alignments
|
Zelst, Sebastiaan J. van
|
|
2017
|
|
3 |
p. 269-284
|
artikel
|
| 67 |
Online detection of continuous changes in stochastic processes
|
Miyaguchi, Kohei
|
|
2017
|
|
3 |
p. 213-229
|
artikel
|
| 68 |
Overfitting measurement of convolutional neural networks using trained network weights
|
Watanabe, Satoru
|
|
|
|
3 |
p. 261-278
|
artikel
|
| 69 |
Parallel SLINK for big data
|
Goyal, Poonam
|
|
|
|
3 |
p. 339-359
|
artikel
|
| 70 |
Path signature-based phase space reconstruction for stock trend prediction
|
Li, Cuiting
|
|
|
|
3 |
p. 293-304
|
artikel
|
| 71 |
Personalised medicine challenges: quality of data
|
Cruz-Correia, Ricardo
|
|
2018
|
|
3 |
p. 251-259
|
artikel
|
| 72 |
Power analysis for causal discovery
|
Kummerfeld, Erich
|
|
|
|
3 |
p. 289-304
|
artikel
|
| 73 |
PowerHash: a hybrid grouping scheme by leveraging power-law properties of data
|
Wei, Xun
|
|
|
|
3 |
p. 273-284
|
artikel
|
| 74 |
Predicting and explaining employee turnover intention
|
Lazzari, Matilde
|
|
|
|
3 |
p. 279-292
|
artikel
|
| 75 |
Predicting individual socioeconomic status from mobile phone data: a semi-supervised hypergraph-based factor graph approach
|
Zhao, Tao
|
|
|
|
3 |
p. 361-372
|
artikel
|
| 76 |
RASCL: a randomised approach to subspace clusters
|
Moens, Sandy
|
|
|
|
3 |
p. 243-259
|
artikel
|
| 77 |
Resampling strategies for imbalanced time series forecasting
|
Moniz, Nuno
|
|
2017
|
|
3 |
p. 161-181
|
artikel
|
| 78 |
Rumor containment in peer-to-peer message sharing online social networks
|
Tripathi, Rohit
|
|
|
|
3 |
p. 185-198
|
artikel
|
| 79 |
Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks
|
Lyu, Lingyu
|
|
2018
|
|
3 |
p. 179-199
|
artikel
|
| 80 |
Social Media and the Protection of Privacy: Current Gaps and Future Directions in European Private International Law
|
Hein, Jan von
|
|
2018
|
|
3 |
p. 233-239
|
artikel
|
| 81 |
Temporal betweenness centrality in dynamic graphs
|
Tsalouchidou, Ioanna
|
|
|
|
3 |
p. 257-272
|
artikel
|
| 82 |
The validation of chest tube management after lung resection surgery using a random forest classifier
|
Klement, William
|
|
|
|
3 |
p. 251-263
|
artikel
|
| 83 |
Three controversies in health data science
|
Peek, Niels
|
|
2018
|
|
3 |
p. 261-269
|
artikel
|
| 84 |
Training data scientists: a few challenges
|
Saporta, Gilbert
|
|
2018
|
|
3 |
p. 201-204
|
artikel
|
| 85 |
Unsupervised online detection and prediction of outliers in streams of sensor data
|
Reunanen, Niko
|
|
|
|
3 |
p. 285-314
|
artikel
|
| 86 |
Using big data and federated learning for generating energy efficiency recommendations
|
Varlamis, Iraklis
|
|
|
|
3 |
p. 353-369
|
artikel
|
| 87 |
What can machines learn about heart failure? A systematic literature review
|
Jasinska-Piadlo, A.
|
|
|
|
3 |
p. 163-183
|
artikel
|
| 88 |
What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences
|
Ley, Christophe
|
|
2018
|
|
3 |
p. 167-175
|
artikel
|
Tijdschrift beschrijving