Literatur |
Böhnlein, M., Plaha, M., & Ulbrich-vom Ende, A. (2002). Visual Specification of Multidimensional Queries based on a Semantic Data Model. In E. Von Maur, & R. Winter, Vom Data Warehouse zum Corporate Knowledge Center - Proceedings der Data Warehousing 2002 (pp. 379-398). Physica-Verlag.
Chaudhuri, S., & Dayal, U. (1996). An Overview of Data Warehousing and OLAP Technology.
Dhawan, B., & Gosain, A. (2009). Extending Uml for Multidimensional Modeling in Data Warehouse. International Journal of Computer & Communication Technology, 2(7), pp. 59-64.
Elfeky, M., Elmagarmid, A., & Verykios, V. (2002). Tailor a record linkage tool box. ICDE, pp. 17-28.
Golfarelli, D. M., & Rizzi, S. (1998). The Dimensional Fact Model: A Conceptual Model for Data Warehouses. Bologna: University of Bologna.
Harren, A. (2001). Multidimensional Modeling Language (MML) und Multidimensional UML (MUML). Data-Warehouse-Systeme: Architektur, Entwicklung, Anwendung (pp. 163-167). dpunkt Verlag.
Höpken, W. (2011). The knowledge destination - a consumer information-based destination management information system. In R. Law, M. Fuchs, & F. Ricci, Information and Communication Technologies in Tourism 2011 (pp. 417-429). Wien: Springer.
Humm, B., & Wietek, F. (2005). Architektur von Data Warehouses und Business Intelligence Systemen. Informatik Spektrum, Februar, pp. 3-14.
Inmon, W. (2002). Building the Data Warehouse (2nd ed.). New York: John Wiley & Sons.
Kim, W., Choi, B.-J., Hong, E., Kim, S.-K., & Lee, D. (2003). A taxonomy of dirty data. Data Mining Knowledge Discovery, 7(1), pp. 81-99.
Kimball, R. (1997). A Dimensional Modeling Manifesto. DBMS.
Kimball, R., Reeves, L., Ross, M., & Thornwaite, W. (1998). The Data Warehouse Lifecycle Toolkit. New York: John Wiley and Sons.
Kimball, R., Ross, M., Thornthwaite, W., Mundy, J., Becker, B. (2008). The Data Warehouse Lifecycle Toolkit. Second Edition, New York: John Wiley and Sons.
Kimball, R., Caserta, J. (2004). The Data Warehouse ETL Toolkit - Praktical Techniques for Extracting, Cleaning, Conforming, and Delivering Data. New York: John Wiley and Sons.
Kimball, R., Ross, M. (2002). The Data Warehouse Toolkit - The Complete Guide to Dimensional Modeling. Second Edition, New York: John Wiley and Sons.
Liu, B. (2008). Web data mining. New York: Springer.
Lujan-Mora, S., Trujillo, J., & Song, I.-Y. (2006). A UML profile for multidimensional modeling in data warehouses. Data & Knowledge Engineering, 59(3), pp. 725-769.
Manhart, K. (2008). BI-Datenmanagement (Teil 3): Metadaten-Verwaltung - Austauschformat Common Warehouse Metamodel. Retrieved Nov 20, 2011, from Tec Channel: http://www.tecchannel.de/server/sql/1751826/bi_datenmanagement_teil_3_metadaten_verwaltung/index6.html
Manning, C. D., & Schütz, H. (2001). Foundations of Statistical Natural Language Processing. Cambridge: MIT.
Sapia, C., Blaschka, M., Höfling, G., & Dinter, B. (1998). Extending the E/R Model for the Multidimensional Paradigm. Proc. International Workshop on Data Warehouse and Data Mining - ER'98. Singapore.
Scannapieco, M., Missier, P., & Batini, C. (2005). Data Quality at a Glance. Datenbank-Spektrum, 5(14), pp. 6-14.
Song, I.-Y., & LeVan-Shultz, K. (1999). Data Warehouse Design for E-Commerce Environment. ER '99 Proceedings of the Workshop on Evolution and Change in Data Management, Reverse Engineering in Information Systems, and the World Wide Web and Conceptual Modeling (pp. 374 - 387). London: Springer-Verlag.
Keil, D., Höpken, W., Fuchs, M., Lexhagen, M. (2017): Optimizing User Interface Design and Interaction Paths for a Destination Management Information System. In: Marcus, A., Wang, W. (eds.) DUXU 2017, Part III, LNCS 10290, Springer, pp. 473-487.
Höpken, W., Keil, D., Fuchs, M., Lexhagen, M. (2015): Business intelligence for cross-process knowledge extraction at tourism destinations. Information Technology & Tourism, 15(2), pp. 101-130.
Meyer, V., Höpken, W., Fuchs, M., Lexhagen, M. (2015): Integration of Data Mining Results into Multi-dimensional Data Models. In: Tussyadiah, I., Inversini, A. (eds.) Information and Communication Technologies in Tourism, Springer, Heidelberg, pp. 155-168.
Fuchs, M., Höpken, W., Lexhagen, M. (2014): Big Data Analytics for Knowledge Generation in Tourism Destinations A Case from Sweden. Journal of Destination Management & Marketing, 3 (4), pp. 198-209.
Höpken, W., Fuchs, M. & Lexhagen, M. (2014): The Knowledge Destination Applying Methods of Business Intelligence to Tourism Applications. In: Wang, J. (ed.) Encyclopedia of Business Analytics and Optimization, IGI Global, Hershey, PA, pp. 2542-2556.
Fuchs, M., Abadzhiev, A., Svensson, B, Höpken, W. & Lexhagen, M. (2013): Knowledge Destination framework for tourism sustainability a Business Intelligence application from Sweden. Tourism - An Interdisciplinary Journal, 61(2), pp. 121-148.
Höpken, W., Fuchs, M., Höll, G. Keil, D. & Lexhagen, M. (2013): Multi-dimensional data modelling for a tourism destination data warehouse. In: Cantoni, L. & Xiang, Ph. (eds.). Information and Communication Technologies in Tourism 2013, Springer, New York, pp. 157-169.
Höpken, W., Fuchs, M., Keil, D., Lexhagen, M. (2011): The Knowledge Destination A Customer Information-based Destination Management Information System. In: Law, R., Fuchs, M., Ricci, F. (eds.). Information and Communication Technologies in Tourism, Springer, New York, pp. 417-429. |