The impact of Auto-Sklearn's Learning Settings - Meta-learning, Ensembling, Time Budget, and Search Space Size. | 0 | 0.34 | 2021 |
cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering | 0 | 0.34 | 2021 |
Sddm: An Interpretable Statistical Concept Drift Detection Method For Data Streams | 0 | 0.34 | 2021 |
The future is big graphs: a community view on graph processing systems | 1 | 0.40 | 2021 |
Towards Automated Concept-based Decision TreeExplanations for CNNs. | 0 | 0.34 | 2021 |
The Kaiju project: enabling event-driven observability | 0 | 0.34 | 2020 |
Towards making sense of Spark-SQL performance for processing vast distributed RDF datasets | 0 | 0.34 | 2020 |
Graph Generators: State of the Art and Open Challenges | 2 | 0.41 | 2020 |
Comparing Schema Advancements for Distributed RDF Querying Using SparkSQL. | 0 | 0.34 | 2020 |
DISGD - A Distributed Shared-nothing Matrix Factorization for Large Scale Online Recommender Systems. | 0 | 0.34 | 2020 |
Process Mining over Unordered Event Streams | 0 | 0.34 | 2020 |
AutoDLCon: An Approach for Controlling the Automated Tuning for Deep Learning Networks | 0 | 0.34 | 2020 |
Big SQL systems: an experimental evaluation | 0 | 0.34 | 2019 |
Bootstrapping the Publication of Linked Data Streams. | 0 | 0.34 | 2019 |
MINARET - A Recommendation Framework for Scientific Reviewers. | 0 | 0.34 | 2019 |
LDLCT An Instance-Based Framework for Lesion Detection on Lung CT Scans | 0 | 0.34 | 2019 |
Calculation of Average Road Speed Based on Car-to-Car Messaging. | 0 | 0.34 | 2019 |
Automated Machine Learning: State-of-The-Art and Open Challenges. | 0 | 0.34 | 2019 |
An Outlook to Declarative Languages for Big Steaming Data | 0 | 0.34 | 2019 |
D ^2 2 IA: Stream Analytics on User-Defined Event Intervals. | 0 | 0.34 | 2019 |
On the interpretability of machine learning-based model for predicting hypertension. | 5 | 0.51 | 2019 |
Benchmarking Spark-SQL under Alliterative RDF Relational Storage Backends. | 0 | 0.34 | 2019 |
Early prediction of diabetes by applying data mining techniques. | 0 | 0.34 | 2019 |
Adaptive Watermarks - A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. | 1 | 0.36 | 2019 |
Editorial for Special issue of FGCS special issue on "Benchmarking big data systems". | 0 | 0.34 | 2019 |
SmartML - A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms. | 1 | 0.35 | 2019 |
Big Stream Processing Systems: An Experimental Evaluation | 0 | 0.34 | 2019 |
Automated Machine Learning - Techniques and Frameworks. | 0 | 0.34 | 2019 |
A Decision Support Framework for AutoML Systems: A Meta-Learning Approach | 0 | 0.34 | 2019 |
DLBench: An Experimental Evaluation of Deep Learning Frameworks | 0 | 0.34 | 2019 |
Correction to: Runtime self-monitoring approach of business process compliance in cloud environments | 0 | 0.34 | 2019 |
HDM: A Composable Framework for Big Data Processing. | 0 | 0.34 | 2018 |
Dagstuhl Seminar on Big Stream Processing | 0 | 0.34 | 2018 |
Correction To: Large scale graph processing systems: survey and an experimental evaluation | 0 | 0.34 | 2018 |
Correction To: Large scale graph processing systems: survey and an experimental evaluation | 0 | 0.34 | 2018 |
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. | 4 | 0.49 | 2018 |
A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds. | 2 | 0.38 | 2018 |
Editorial for Special Issue of Journal of Big Data Research on “Big Medical/Healthcare Data Analytics” | 0 | 0.34 | 2018 |
Predictive Model for the Incidence of Hyperkalemia for Congestive Heart Failure Patients on Spironolactone | 0 | 0.34 | 2018 |
Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap. | 1 | 0.36 | 2018 |
Big Stream Processing Systems (Dagstuhl Seminar 17441). | 0 | 0.34 | 2017 |
Towards Big Data Analytics across Multiple Clusters. | 0 | 0.34 | 2017 |
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project. | 1 | 0.36 | 2017 |
On business process monitoring using cross-flow coordination. | 1 | 0.36 | 2017 |
Towards a Comprehensive Data Analytics Framework for Smart Healthcare Services. | 16 | 0.68 | 2016 |
Network-based social coordination of business processes. | 7 | 0.55 | 2016 |
Building Pipelines for Heterogeneous Execution Environments for Big Data Processing. | 9 | 0.51 | 2016 |
Big Data 2.0 Processing Systems: Taxonomy and Open Challenges. | 15 | 0.60 | 2016 |
DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication. | 11 | 0.53 | 2015 |
Large scale graph processing systems: survey and an experimental evaluation | 17 | 0.62 | 2015 |