10. DOLAP 2007: Lisbon, Portugal

Data warehouse design

• Oscar Romero, Alberto Abelló:
  Automating multidimensional design from ontologies. 1-8
  
• Il-Yeol Song, Ritu Khare, Bing Dai:
  SAMSTAR: a semi-automated lexical method for generating star schemas from an entity-relationship diagram. 9-16
  
• Kamel Aouiche, Daniel Lemire:
  A comparison of five probabilistic view-size estimation techniques in OLAP. 17-24
  

Physical data organization

• Ekow J. Otoo, Doron Rotem, Sridhar Seshadri:
  Optimal chunking of large multidimensional arrays for data warehousing. 25-32
  
• Rokia Missaoui, Cyril Goutte, Anicet Kouomou Choupo, Ameur Boujenoui:
  A probabilistic model for data cube compression and query approximation. 33-40
  
• Michal Stabno, Robert Wrembel:
  RLH: bitmap compression technique based on run-length and huffman encoding. 41-48
  

Data warehouse processing

• Vasiliki Tziovara, Panos Vassiliadis, Alkis Simitsis:
  Deciding the physical implementation of ETL workflows. 49-56
  
• Maik Thiele, Ulrike Fischer, Wolfgang Lehner:
  Partition-based workload scheduling in living data warehouse environments. 57-64
  
• Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chaplin:
  Efficient computation of view subsets. 65-72
  

Spatio-temporal data warehouses and data mining

• Ariel Escribano, Leticia I. Gómez, Bart Kuijpers, Alejandro A. Vaisman:
  Piet: a GIS-OLAP implementation. 73-80
  
• Eilverijus Kondratas, Igor Timko:
  CT-OLAP: temporal multidimensional data model and algebra for moving objects. 81-88
  
• Marc Plantevit, Sabine Goutier, Françoise Guisnel, Anne Laurent, Maguelonne Teisseire:
  Mining unexpected multidimensional rules. 89-96
  

Panel: research challenges for DW and OLAP seen from industry and academia

• Morten Middelfart:
  Improving business intelligence speed and quality through the OODA concept. 97-98
  
• Stefano Rizzi:
  OLAP preferences: a research agenda. 99-100
  
• Torben Bach Pedersen:
  Warehousing the world: a few remaining challenges. 101-102
  
• Jens Otto Sørensen:
  Even straight forward data warehouses are complicated. 103-104