Herodotos Herodotou
Orcid: 0000-0002-8717-1691
According to our database1,
Herodotos Herodotou
authored at least 59 papers
between 2009 and 2023.
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Bibliography
2023
Cost-based Data Prefetching and Scheduling in Big Data Platforms over Tiered Storage Systems.
ACM Trans. Database Syst., December, 2023
Explaining tourist revisit intention using natural language processing and classification techniques.
J. Big Data, December, 2023
On combining system and machine learning performance tuning for distributed data stream applications.
Distributed Parallel Databases, September, 2023
Toward Holistic Energy Management by Electricity Load and Price Forecasting: A Comprehensive Survey.
IEEE Access, 2023
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023
2022
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently.
IEEE Trans. Knowl. Data Eng., 2022
Introduction to the special issue on self‑managing and hardware‑optimized database systems 2020.
Distributed Parallel Databases, 2022
Proceedings of the Information Systems and Technologies, 2022
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022
Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022
Combination of User and Venue Personality with Topic Modelling in Restaurant Recommender Systems.
Proceedings of the Workshop on Recommenders in Tourism (RecTour 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022
Exploring System and Machine Learning Performance Interactions when Tuning Distributed Data Stream Applications.
Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Proc. VLDB Endow., 2021
Supporting digital content marketing and messaging through topic modelling and decision trees.
Expert Syst. Appl., 2021
ACM Comput. Surv., 2021
Big Data Res., 2021
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021
Evaluating the Effect of Weather on Tourist Revisit Intention using Natural Language Processing and Classification Techniques.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Application of Classification and Word Embedding Techniques to Evaluate Tourists' Hotel-revisit Intention.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021
2020
IEEE Internet Things J., 2020
Cuttlefish: A Flexible and Lightweight Middleware for Combining Heterogeneous IoT Devices.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020
Combination of Topic Modelling and Decision Tree Classification for Tourist Destination Marketing.
Proceedings of the Advanced Information Systems Engineering Workshops, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems.
Proc. VLDB Endow., 2019
Proc. VLDB Endow., 2019
AutoCache: Employing Machine Learning to Automate Caching in Distributed File Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019
Proceedings of the International Conference on Frontiers of Information Technology, 2019
2018
Proc. VLDB Endow., 2018
Proceedings of the 2018 USENIX Annual Technical Conference, 2018
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018
2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
2016
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016
2015
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015
2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 17th International Conference on Extending Database Technology, 2014
2013
2012
Proc. VLDB Endow., 2012
2011
MapReduce Programming and Cost-based Optimization? Crossing this Chasm with Starfish.
Proc. VLDB Endow., 2011
Proc. VLDB Endow., 2011
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics.
Proceedings of the ACM Symposium on Cloud Computing in conjunction with SOSP 2011, 2011
Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011
2010
2009
Proceedings of the 2nd International Workshop on Testing Database Systems, 2009
Proceedings of HotOS'09: 12th Workshop on Hot Topics in Operating Systems, 2009
Proceedings of the Fourth Biennial Conference on Innovative Data Systems Research, 2009