Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery | 0 | 0.34 | 2021 |
Machine Learning Based Algorithms For Global Dust Aerosol Detection From Satellite Images: Inter-Comparisons And Evaluation | 0 | 0.34 | 2021 |
Efficient And Flexible Aggregation And Distribution Of Modis Atmospheric Products Based On Climate Analytics As A Service Framework | 0 | 0.34 | 2021 |
Performance Benchmarking Of Parallel Hyperparameter Tuning For Deep Learning Based Tornado Predictions | 0 | 0.34 | 2021 |
Potential Trend Discovery For Highway Drivers On Spatio-Temporal Data | 1 | 0.36 | 2021 |
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams | 0 | 0.34 | 2020 |
Parallel Gradient Boosting Based Granger Causality Learning | 0 | 0.34 | 2019 |
Benchmarking Discretisation Level Of Continuous Attributes: Theoretical And Experimental Approaches | 0 | 0.34 | 2019 |
Performance Benchmarking Of Data Augmentation And Deep Learning For Tornado Prediction | 0 | 0.34 | 2019 |
PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data. | 0 | 0.34 | 2019 |
Training Back Propagation Neural Networks In Mapreduce On High-Dimensional Big Datasets With Global Evolution | 0 | 0.34 | 2019 |
Representation Learning Of Taxonomies For Taxonomy Matching | 0 | 0.34 | 2019 |
Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing | 0 | 0.34 | 2018 |
A Periodic Task-Oriented Scheduling Architecture in Cloud Computing | 0 | 0.34 | 2018 |
Content-Bootstrapped Collaborative Filtering For Medical Article Recommendations | 0 | 0.34 | 2018 |
A Comparison Of Big Data Application Programming Approaches: A Travel Companion Case Study | 0 | 0.34 | 2017 |
Zero-Day Attack Identification in Streaming Data Using Semantics and Spark | 0 | 0.34 | 2017 |
Curve-Registration-Based Feature Extraction for Predictive Maintenance of Industrial Equipment. | 0 | 0.34 | 2017 |
A Hybrid Learning Framework for Imbalanced Stream Classification | 0 | 0.34 | 2017 |
Enhancing The Mapreduce Training Of Bp Neural Networks Based On Local Weight Matrix Evolution | 0 | 0.34 | 2017 |
Service Hyperlink: Modeling And Reusing Partial Process Knowledge By Mining Event Dependencies Among Sensor Data Services | 1 | 0.35 | 2017 |
Application-Driven Sensing Data Reconstruction And Selection Based On Correlation Mining And Dynamic Feedback | 1 | 0.35 | 2016 |
Wearable Sensor Based Human Posture Recognition | 2 | 0.40 | 2016 |
A Service-Friendly Approach to Discover Traveling Companions Based on ANPR Data Stream | 0 | 0.34 | 2016 |
A Smart Manufacturing Use Case: Furnace Temperature Balancing in Steam Methane Reforming Process via Kepler Workflows. | 5 | 1.08 | 2016 |
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. | 5 | 0.43 | 2016 |
Big Data Provenance: Challenges, State Of The Art And Opportunities | 10 | 0.62 | 2015 |
Instant Discovery of Moment Companion Vehicles from Big Streaming Traffic Data. | 0 | 0.34 | 2015 |
A Hybrid Processing System for Large-Scale Traffic Sensor Data. | 4 | 0.44 | 2015 |
An Integrated Processing Platform for Traffic Sensor Data and Its Applications in Intelligent Transportation Systems | 4 | 0.48 | 2014 |
Big Data Applications Using Workflows for Data Parallel Computing | 11 | 0.75 | 2014 |
Mashroom+: An Interactive Data Mashup Approach with Uncertainty Handling | 2 | 0.36 | 2014 |
A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning | 10 | 0.60 | 2014 |
Cloud computing in e-Science: research challenges and opportunities | 10 | 0.62 | 2014 |
The Second International Workshop on Service and Cloud Based Data Integration (SCDI 2014)-Workshop Message. | 0 | 0.34 | 2014 |
Guest Editors' Introduction: Special Issue on Service and Cloud Based Data Integration | 0 | 0.34 | 2014 |
MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data. | 5 | 0.37 | 2014 |
Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud | 1 | 0.36 | 2014 |
Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. | 14 | 0.76 | 2014 |
A Spatio-temporal Parallel Processing System for Traffic Sensory Data | 4 | 0.48 | 2014 |
Approaches to Distributed Execution of Scientific Workflows in Kepler | 7 | 0.94 | 2013 |
Early Cloud Experiences With The Kepler Scientific Workflow System | 13 | 0.59 | 2012 |
A Framework For Distributed Data-Parallel Execution In The Kepler Scientific Workflow System | 6 | 0.67 | 2012 |
An Item-Targeted User Similarity Method for Data Service Recommendation | 1 | 0.36 | 2012 |
Theoretical enzyme design using the Kepler scientific workflows on the Grid | 2 | 0.53 | 2010 |
Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example | 5 | 0.65 | 2009 |
An Approach to Domain-Specific Reuse in Service-Oriented Environments | 5 | 0.51 | 2008 |
A Business-Level Service Model Supporting End-User Customization | 3 | 0.40 | 2007 |
Personalized Active Service Spaces for End-User Service Composition | 8 | 0.66 | 2006 |
Pattern based property specification and verification for service composition | 51 | 2.25 | 2006 |