Luca Zecchini

Orcid: 0000-0002-4856-0838

According to our database1, Luca Zecchini authored at least 14 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests.
SIGMOD Rec., June, 2023

A big data platform exploiting auditable tokenization to promote good practices inside local energy communities.
Future Gener. Comput. Syst., April, 2023

BrewER: Entity Resolution On-Demand.
Proc. VLDB Endow., 2023

DXP: Billing Data Preparation for Big Data Analytics.
CoRR, 2023

Evaluation of Dataframe Libraries for Data Preparation on a Single Machine.
CoRR, 2023

Entity Resolution On-Demand for Querying Dirty Datasets.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Bridging the Gap between Buyers and Sellers in Data Marketplaces with Personalized Datasets.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

2022
Entity Resolution On-Demand.
Proc. VLDB Endow., 2022

Task-Driven Big Data Integration.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Progressive Entity Resolution with Node Embeddings.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

ECDP: A Big Data Platform for the Smart Monitoring of Local Energy Communities.
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

2021
Progressive Query-Driven Entity Resolution.
Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

The Case for Multi-task Active Learning Entity Resolution (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

2020
Entity Resolution on Camera Records Without Machine Learning.
Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, 2020


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