CineCubes: cubes as movie stars with little effort
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Clustering cubes with binary dimensions in one pass
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Extended dimensions for cleaning and querying inconsistent data warehouses
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Meta-stars: multidimensional modeling for social business intelligence
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
INDREX: in-database distributional relation extraction
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Can we analyze big data inside a DBMS?
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
ProtOLAP: rapid OLAP prototyping with on-demand data supply
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
CXT-cube: contextual text cube model and aggregation operator for text OLAP
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Using REO on ETL conceptual modelling: a first approach
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Lazy data structure maintenance for main-memory analytics over sliding windows
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Data warehousing and OLAP over big data: current challenges and future research directions
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
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The ACM DOLAP workshop presents research on data warehousing and On-Line Analytical Processing (OLAP). The DOLAP 2013 program has three interesting sessions on Design and Exploitation of Social Data Warehouses, ETL and modeling and new trends, as well as a keynote talk on OLAP query processing and a panel on OLAP and DataWarehousing Technology in Big Data era.