A Multi-driven Approach to Improve Data Analytics for Multi-value Dimensions - New Contributions in Information Systems and Technologies - page 119

References
1. Kimball, R., et al.: The Data Warehouse Lifecycle Toolkit, 2nd edn. Wiley (2008)
2. Mazón, J., Lechtenbörger, J., Trujillo, J.: A survey on summarizability issues in multidi-
mensional modeling. Data & Knowledge Engineering 68, 1452-1469 (2009)
3. Adamson, C.: Star Schema: The Complete Reference. McGraw-Hill (2010)
4. Romero, O., Abelló, A.: A Survey of Multidimensional Modeling Methodologies. Int.
Journal of Data Warehousing & Mining 5(2), 1-23 (2009)
5. Song, I.Y., Rowen, W., Medsker, C., Ewen, E.F.: An analysis of many-to-many relation-
ships between fact and dimension tables in dimensional modeling. In: Proc. of DMDW
(2001)
6. Guo, Y., Tang, S., Tong, Y., Yang, D.: Triple-Driven Data Modeling Methodology in Da-
ta Warehousing: A Case Study. In: Proc. of DOLAP (2006)
7. Dori, D., Feldman, R., Sturm, A.: Transforming an operational system model to a data
warehouse model: a survey of techniques. In: Int. Conf. on Software- Science, Technolo-
gy and Engineering, pp. 47-56. IEEE Computer Society (2005)
8. Thenmozhi, M., Vivekanandan, K.: A Tool for Data Warehouse Multidimensional Sche-
ma Design using Ontology. Int. Journal of Computer Science Issues 10(2(3)) (March
2013)
9. Mazón, J., Trujillo, J.: A hybrid model driven development framework for the multidi-
mensional mod-eling of data warehouses. Proc. of SIGMOD Record 38(2) (2009)
10. Serrano, M., et al.: Metrics for data warehouse conceptual models understandability. In-
formation and Software Technology 49, 851-870 (2007)
11. Romero, O., Simitsis, A., Abelló, A.: GEM : Requirement-driven generation of ETL and
multidimensional conceptual designs. In: Cuzzocrea, A., Dayal, U. (eds.) DaWaK 2011.
LNCS, vol. 6862, pp. 80-95. Springer, Heidelberg (2011)
12. Talwar, K., Gosain, A.: Hierarchy classification for Data Warehouse: A Survey. In: Proc.
of ICCCS (2012)
13. Prat, N., Akoka, J., Comyn-Wattiau, I.: A UML-based data warehouse design method.
Decision Support Systems 42, 1449-1473 (2006)
14. Song, Y., et al.: An Analysis of Many-to-Many Relationships Between Fact and Dimen-
sion Tables in Dimensional Modeling. In: Proc. of DMDW (2001)
15. Chee Tahir, A., Darton, R.C.: The Process Analysis Method of selecting indicators to
quantify the sustainability performance of a business operation. Int. Journal of Cleaner
Production 18, 1598-1607 (2010)
16. Pentaho, “Mondrian Schema Documentation”, online documentation available at the Pentaho
website: http://mondrian.pentaho.com/documentation/schema.php;
17. Zhijuan, W., Hongchang, W.: A Data Warehouse Design Method. In: International Confe-
rence on Computer Science and Service System (2012)
18. Lechtenbörger, J., Vossen, G.: Multidimensional normal forms for data warehouse design.
Inf. Syst. 28(5), 415-434 (2003)
19. Caniupán, M., Bravo, L., Hurtado, C.A.: Repairing inconsistent dimensions in data ware-
houses. Data & Knowledge Engineering 79-80, 17-39 (2012)