[1] Jindal, R., Taneja, SH. )2012(. “Comparative study of Data Warehouse Design Approches: A Survey”. International Journal of Database Management Systems (IJDMS), Vol.4, No.1.
[2] Arfaoui, N., Akaichi, J. (2012). “Data warehouse: conceptual and logical schema – survey”. International Journal of Enterprise Computing and Business Systems, Vol.2, pp. 1-31.
[3] Tryfona, N., Busborg, F., Christiansen, J.G. B. (1999). “starER: A Conceptual Model for Data Warehouse Design”. Department of Computer Science, Aalborg University, Fredrik Bajersvej 7E, DK-9220, Aalborg Øst, Denmark, pp. 1-6.
[4] Kamble, A.S. (2008). “A conceptual model for multidimensional data”. Proceedings of the fifth on Asia-Pacific conference on conceptual modeling, Wollongong, NSW, Australia.
[5] Başaran, B. P. (2005). “A comparison of data warehouse design models”.
[6] Moody, D. L., Kortink, M. A. R. (2000). “From Enterprise Models to Dimensional Models: A Methodology for Data Warehouse and Data Mart Design”. In Proceedings of
International Workshop on Design and Management of Data Warehouses (DMDW'2000), Sweden,pp. 5-1, 5-12.
[7] Seyed-Abbassi, B. (2001). “Teaching Effective Methodologies to Design a Data Warehouse”.
[8] Moody, D. L., Kortink, M. A. R. (2008). “From ER Models to Dimensional Models Part II: Advanced Design Issues”. Journal of Business Intelligence, PP. 1-12.
[9] Mishra, D., Yazici, A., Başaran, B. P. (2008). “A Case study of Data Models in Data Warehousing Design”. pp. 314-319
[10] Nugawela, S. (2013). “Data warehousing model for integrating fragmented electronic health records from disparate and heterogeneous clinical data stores”. School of Electrical Engineering and Computer Science Faculty of Science and Engineering Queensland University of Technology.
[11] Kimball, R. (1996). “Data Warehouse Toolkit”. John Wiley & Sons, Inc, New York.
[12] Gosain, A. (2015). “Literature Review of Data model Quality metrics of Data Warehouse”. International Conference on Intelligent Computing, Communication & Convergence (ICCC), Vol. 48, pp. 236 – 243.
[13] Completo, J., Cruz, R.S., Coheur, L., Delgado, M. (2012). “Design and Implementation of a Data Warehouse for
Benchmarking in Clinical Rehabilitation”. International Conference on Health and Social Care Information Systems and Technologies, Vol. 5, pp. 885 – 894.
[14] Arora, M., Gosain, A. (2011). “Schema Evolution for Data Warehouse: A Survey”. International Journal of Computer Applications, Vol. 22, No.6.
[15] Jovanovica, P., Romeroa, O., Simitsisb, A., Abellóa, A., Mayorova, D. (2014). “A requirement-driven approach to the design and evolution of data warehouses”. Information Systems, Vol.44, pp. 94–119.
[16] George, J., Vijay Kumar, B., Santhosh Kumar, V. (2015). “Data Warehouse Design Considerations for a Healthcare Business Intelligence System”. Proceedings of the World Congress on Engineering (WCE), Vol. 1.
]17[زاهدین لباف، ز.، دانشپور، ن. (1394). "یافتن خودکار حقایق و ابعاد با روش اکتشافی در پایگاه داده تحلیلی". بیست و یکمین کنفرانس ملی سالانه انجمن کامپیوتر ایران، تهران، 18 تا 20 اسفند.
[18] Tiwari, V., Singh Thakur, R. (2015). “ Contextual snowflake modelling for pattern warehouse logical design”.
[24] Sapia, C., Blaschka, M. H., Fling, G., Dinter, B. (1998). “Extending the E/R Model for the Multidimensional Paradigm”. In Proceeding of the Intrenational Workshop on Data Warehousing and Data Mining, Singapore, pp. 105-116.
[25]Malinowski, E., Zimányi, E. (2004). “Representing spatiality in a conceptual multidimensional model”. In Proceedings of ACM international work shop on Geographic information systems, ACM Press, New York, pp. 12-22.
[26] Malinowski, E., Zimányi, E. (2005). “Spatial Hierarchies and Topological Relationships in the Spatial MultiDimERmodel”. In Proceedings of the22nd British National Conferenceon Databases, BNCOD22, number3567 in Lecture Notes in Computer Science, Springer-Verlag, Sunderland, UK, pp. 17-28.
[27] Malinowski, E., Zimányi, E. (2006). “Hierarchies in a Multidimensional Model: From Conceptual Modeling to Logical Representation”. Data &Knowledge Engineering, Vol.59, No.2, pp. 348-377.
[28] Boehnlein, M., Ende, A.U. (1999). “Deriving Initial Data Warehouse Structuresfrom the Conceptual Data Models of the Underlying OperationalInformation Systems”. In Proceedings of the ACM Second InternationalWorkshop on Data Warehousing and OLAP (DOLAP'1999, Kansas City, 6. November), pp. 15-21.
[29] Abellò, A., Samos, J., Saltor, F. (2002). “YAM2 (Yet another multidimensional model): An extension of UML”. International Database Engineering &Applications Symposium (IDEAS 2002), Edmonton, Canada, IEEE Computer Society, pp. 172-18.
[30] Abellòٍ, A., Samos, J., Saltor, F. (2006). “YAM2: a multidimensional conceptual model extending UML”. Information Systems (IS), Elsevier, pp. 541–567.
[31] Mora, S.L., Trujillo, J. (2003). “A comprehensive method for data warehouse design”. In Proceedings of the5th International Workshop on Design and Management of Data Warehouses, Germany, Vol. 1, pp. 1-14.
[32] Mora, S.L., Trujillo, J., Song, I.Y. (2006). “A UML profile for multidimensional modeling in data warehouses”. Data & Knowledge Engineering, pp. 725-769.
[33] Trujillo, J., Palomar, M. (1998). “An Object Oriented Approach to Multidimensional Database Conceptual Modeling (OOMD)”. Conference on Information and Knowledge Management, ACM Press, New York, pp. 16-21.
[34] Trujillo, J. (1999). “The GOLD Model: An Object Oriented Multidimensional Data Model For Multidimensional Databases”. In Proceedings of the 9thECOOP International Workshop For PhD Students In Objects OrientedSystems, Lisboa, Portugal.
[35] Sarkar, A., CHoudhury, S. (2009). “Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model”.
[36] Xuan, D. N., Bellatreche, L., Pierra, G. (2006). “A Versioning Management Model for Ontology-Based Data Warehouses”. In Proceedings of the 8th International Conference on Data Warehousing and Knowledg Discovery DaWaK 2006, Krakow, Poland, pp. 195-206.
[37] Skoutas, D., Simitsis, A. (2007). “Ontology-Based Conceptual Design of ETL Processes for Both Structured and Semi-Structured Data”. International Journal of Semantic Web and Information Systems, Vol. 3, No. 4, pp. 1-24.
[38] Tsois, N., Karayannidis, T. S. (2001). “MAC: Conceptual data modeling forOLAP”. In Proceedings of the International Workshop on Design and Management of Data Warehouses (DMDW-2001), pp. 5–1, 5–13.
[39] Golfarelli, M., Maio, D., Rizzi, S. (1998). “The Dimensional Fact Model: a Conceptual Model for Data Warehouses”. International Journal of Cooperative Information Systems, pp. 215-247.
[40] Golfarelli, M. (2010). “From User Requirements to Conceptual Design in Data Warehouse Design – a Survey”.
[41]Gutiérrez, A., Marotta, A. ( 2000). “An Overview of Data Warehous Design Approaches and Techniques”. Instituto
de Computación, Facultad de Ingenieria, Universidad de la República, Montevideo, Uruguay.
[42] Peralta, V., Ruggia, R. (2003). “Using Design Guidelines to Improve DataWarehouse Logical Design”. Proc of the International Workshop onDesign and Management of Data Warehouses, Berlin.
[43] Peralta, V. (2003). “Data Warehouse Logical Design from Multidimensional Conceptual Schemas”. Instituto de Computación, Universidad de la República, Julio Herreray Reisig 565, Montevideo, CP 11300, Uruguay.
[44] Peyravi, M. H. (2012). “A Schema Selection Framework for Data Warehouse Design”. International Journal of Machine Learning and Computing, Vol. 2, No. 3.
[45] Shekofteh, M. (2012). “ Building Quick and Accurate Structure for Data Warehouse” .International Journal of Advanced Computer Science, Vol. 2, No. 7, pp. 274-276, This work was supported by Department Of computer science, Sarvestan Branch, Islamic Azad University, sarvestan, Iran.
[46] Shrivastava, R.K., Mahrishi, M., Parnami,P. (2012). “An Optimized algorithm to select the appropriate Schema in Data Warehouses”. International Journal of Engineering Sciences & Research Technology, pp. 198-204. ISSN: 2277-9655.