DOLAP (2025 ed.)

@DOLAPworkshop
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International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data
Homepagehttps://dolapworkshop.github.io/dolap-2025/
LocationBarcelona, Spain
Twitterhttps://twitter.com/DOLAPworkshop

This year #DOLAP has started beautifully

Prof. Curry is now introducing us to the main topic of the day #Dataspaces or is it Data Spaces 2 words???

Let's figure it out

27th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data

DOLAP 2025, DOLAP is the International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data. The 27th edition of the workshop is co-located with the EDBT/ICDT 2025 conference and takes place in Barcelona, Spain, on March 25, 2025. This page presents papers accepted to DOLAP 2025.

DOLAP
27th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data

DOLAP 2025, DOLAP is the International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data. The 27th edition of the workshop is co-located with the EDBT/ICDT 2025 conference and takes place in Barcelona, Spain, on March 25, 2025. This page presents papers accepted to DOLAP 2025.

DOLAP
27th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data

DOLAP 2025. DOLAP is the International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data. The 27th edition of the workshop is co-located with the EDBT/ICDT 2025 conference and takes place in Barcelona, Spain, on March 25, 2025. This page presents DOLAP 2025, the 27th edition of the workshop.

DOLAP
We conclude our workshop now with our panel session on #AI in #DataAnaltics
Now the general chair of DOLAP Il-Yeol Song. Presents A 25 Year Journey Through Research Trends and Performance at DOLAP

In the first session of the afternoon we have listened to

. Shapelets Evaluation using Silhouettes for Time Series Classification

. A Data-Science Pipeline to Enable the Interpretability of Many-Objective Feature Selection

. SQUIRREL 2.0: Fairness & Explanations for Sequential Group Recommendations

. Graph XAI: Graph-agumented AI with Accuracy, Depth, Explainability, and Velocity

Next we just listened and are listening to

. An Efficient Diversity-Aware Method for the Empty-Answer Problem

. HealthMesh: An Architectural Framework for Federated Healthcare Data Management

. Towards a Process-Driven Design of Data Platforms

Next up

Context Based Completeness Assessment for Data Warehouse Hierarchies