Improving Expressive Power in Modeling Data Warehouse and OLAP Applications - Evolving Application Domains of Data Warehousing and Mining - page 39

Lachev, T. (2005). Applied Microsoft Analysis
Services 2005 . Prologica Press.

Pedersen, T., Jensen, C. S., & Dyreson, C.
(2001). A foundation for capturing and querying
complex multidimensional data. Information
Systems , 26 (5), 383-423. doi:10.1016/S0306-
4379(01)00023-0

Lechtenbörger, J., & Vossen, G. (2003). Multi-
dimensional normal forms for data warehouse
design. Information Systems , 28 (5), 415-434.
doi:10.1016/S0306-4379(02)00024-8 Pourabbas, E., & Rafanelli, M. (2003). Hierar-

chies. In M. Rafanelli. (Ed.) Multidimensional
databases: problems and solutions , (pp. 91-115).
Hershey, PA: Idea Group Publishing.

Lehner, W., Albrecht, J., & Wedekind, H. (1998).
Normal forms for multidimensional databases.
Proceedings of the 10 th International Conference
on Scientific and Statistical Database Manage-
ment , (pp. 63-72).

Rafanelli, M. (2003). Basic notions. In M. Ra-
fanelli. (Ed.) Multidimensional databases: prob-
lems and solutions , (pp. 1-45). Hershey, PA: Idea
Group Publishing.

Lenz, H., & Shoshani,A. (1997). Summarizability
in OLAP and statistical databases. Proceedings
of the 9 th International Conference on Scientific
and Statistical Database Management , (pp.132-
143).

Rizzi, S. (2003). Open problems in data warehous-
ing: 8 years later. Proceedings of the 5 th Interna-
tional Workshop on Design and Management of
Data Warehouses .

List, B., Bruckner, R., Machaczek, K., & Schiefer,
J. (2002). Comparison of data warehouse devel-
opment methodologies: case study of the process
warehouse. Proceedings of the 13 th International
Conference on Database and Expert Systems Ap-
plications , (pp. 203-215).

Rizzi, S. (2007). Conceptual modeling solutions
for the data warehouse. In R. Wrembel & Ch.
Koncilia (Eds.). Data warehouses and OLAP:
concepts, architectures and solutions , (pp. 1-26.)
Hershey, PA: Idea Group Publishing.

Luján-Mora, S., Trujillo, J., & Song, I. (2006).
A UML profile for multidimensional model-
ing in data warehouses. Data & Knowledge
Engineering , 59 (3), 725-769. doi:10.1016/j.
datak.2005.11.004

Sapia, C., Blaschka, M., Höfling, G., & Dinter,
B. (1998). Extending the E/R model for multi-
dimensional paradigms. Proceedings of the 17 th
International Conference on Conceptual Model-
ing, (pp. 105-116).

Malinowski, E., & Zimányi, E. (2008). Advanced
data warehouse design: from conventional
to spatial and temporal applications . Berlin:
Springer.

Song, I., Rowen, W., Medsker, C., & Ewen, E.
(2001).An analysis of many-to-many relationships
between facts and dimension tables in dimensional
modeling. Proceedings of the 3 rd International
Workshop on Design and Management of Data
Warehouses , (pp. 6).

Microsoft Corporation. (2005). SQL Server 2005:
topics online . http://technet.microsoft.com/en-us/
sqlserver/bb895969.aspx. Torlone, R. (2003). Conceptual multidimensional

models. In M. Rafanelli, (Ed.) Multidimensional
databases: problems and solutions , (pp. 91-115).
Hershey, PA: Idea Group Publishing.

Niemi, T., Nummenmaa, J., & Thanisch, P. (2001).
Logical multidimensional database design for
ragged and unbalanced aggregation hierarchies.
Proceedings of the 3 rd International Workshop on
Design and Management of Data Warehouses ,
(pp. 7).