| Multivariate times series classification through an interpretable representation | 0 | 0.34 | 2021 |
| Social Media-Driven Customer Engagement And Movie Performance: Theory And Empirical Evidence | 0 | 0.34 | 2021 |
| How To Increase Customer Repeated Bookings In The Short-Term Room Rental Market? A Large-Scale Granular Data Investigation | 0 | 0.34 | 2021 |
| Value creation and appropriation of software vendors: A digital innovation model for cloud computing | 0 | 0.34 | 2021 |
| Why do organizations leverage social media to create business value? An external factor-centric empirical investigation | 0 | 0.34 | 2021 |
| Impact of IT integration on the firm’s knowledge absorption and desorption | 1 | 0.36 | 2020 |
| How corporate social responsibility activities influence employer reputation: The role of social media capability | 1 | 0.36 | 2020 |
| How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research | 3 | 0.43 | 2020 |
| Delivering Data Mining Services in Cloud Computing | 0 | 0.34 | 2019 |
| Fuzzy Systems-As-A-Service In Cloud Computing | 1 | 0.36 | 2019 |
| Distributed FastShapelet Transform: a Big Data time series classification algorithm | 2 | 0.37 | 2019 |
| How do social commerce-IT capabilities influence firm performance? Theory and empirical evidence. | 2 | 0.37 | 2019 |
| Impact of the usage of social media in the workplace on team and employee performance | 0 | 0.34 | 2019 |
| An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark | 12 | 0.52 | 2018 |
| On The Use Of Convolutional Neural Networks For Robust Classification Of Multiple Fingerprint Captures | 5 | 0.41 | 2018 |
| A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. | 4 | 0.40 | 2018 |
| A Proposal for the Specification of Data Mining Services in Cloud Computing. | 0 | 0.34 | 2018 |
| Evolution of the impact of e-business technology on operational competence and firm profitability: A panel data investigation. | 3 | 0.36 | 2018 |
| Self-labeling techniques for semi-supervised time series classification: an empirical study. | 3 | 0.39 | 2018 |
| Data Mining definition services in Cloud Computing with Linked Data. | 0 | 0.34 | 2018 |
| Linguistic OWA and two time-windows based fault identification in wide plants. | 1 | 0.39 | 2018 |
| A Forecasting Methodology for Workload Forecasting in Cloud Systems. | 3 | 0.39 | 2018 |
| Fast-Mrmr: Fast Minimum Redundancy Maximum Relevance Algorithm For High-Dimensional Big Data | 15 | 0.61 | 2017 |
| Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. | 0 | 0.34 | 2017 |
| Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. | 6 | 0.42 | 2017 |
| Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. | 7 | 0.48 | 2017 |
| SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. | 2 | 0.37 | 2017 |
| Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. | 14 | 0.53 | 2016 |
| GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. | 0 | 0.34 | 2016 |
| On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems | 11 | 0.58 | 2016 |
| Data discretization: taxonomy and big data challenge | 22 | 0.72 | 2016 |
| Open Calculator for Environmental and Social Footprints of Rail Infrastructures. | 0 | 0.34 | 2016 |
| DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. | 0 | 0.34 | 2016 |
| ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem | 9 | 0.50 | 2015 |
| Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. | 32 | 0.85 | 2015 |
| A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. | 12 | 0.63 | 2015 |
| A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. | 3 | 0.42 | 2015 |
| Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification | 6 | 0.48 | 2015 |
| A high performance memetic algorithm for extremely high-dimensional problems. | 10 | 0.45 | 2015 |
| Fast fingerprint identification using GPUs | 7 | 0.51 | 2015 |
| A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. | 17 | 0.65 | 2015 |
| A Mapreduce Approach To Address Big Data Classification Problems Based On The Fusion Of Linguistic Fuzzy Rules | 34 | 0.98 | 2015 |
| A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. | 0 | 0.34 | 2015 |
| Learning from data using the R package "FRBS". | 2 | 0.35 | 2014 |
| On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data | 5 | 0.43 | 2014 |
| E-learning and educational data mining in cloud computing: an overview | 6 | 0.56 | 2014 |
| Special issue: Advances in learning schemes for function approximation | 0 | 0.34 | 2014 |
| A review of microarray datasets and applied feature selection methods | 103 | 2.38 | 2014 |
| Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks | 64 | 2.55 | 2014 |
| Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". | 36 | 1.43 | 2014 |
