[Micb] Microsoft Corporation, : Multidimensional Expressions (MDX) Re-
ference.
[Mic00] Microsoft Corporation: OLE DB for Data Mining Specification.
Technischer Bericht, Microsoft Corporation, Juli 2000.
[MKIK07] Morfonios, K.; Konakas, S.; Ioannidis, Y.; Kotsis, N.: ROLAP Imple-
mentations of the Data Cube. ACM Computing Surveys, Band 39,
Nr. 4, S. 12:1–12:53, November 2007.
[ML13] Müller, R. M.; Lenz, H.-J.: Business Intelligence. eXamen.press.
SpringerVieweg, Berlin Heidelberg, 2013.
[MLT10] Mazón, J.-N.; Lechtenbörger, J.; Trujillo, J.: A Survey on Summa-
rizability Issues in Multidimensional Modeling. In: Proceedings of
the Spanish Conference on Software Engineering and Databases
(JISBD), S. 327–327. Valencia, Spanien, September 2010.
[MNPT05] Manolopoulos, Y.; Nanopoulos, A.; Papadopoulos, A. N.; Theodori-
dis, Y.: R-Trees: Theory and Applications (Advanced Information
and Knowledge Processing). Springer-Verlag, 1. Auflage, Septem-
ber 2005.
[MOL09] Michalarias, I.; Omelchenko, A.; Lenz, H.-J.: FCLOS: A Client-
Server Architecture for Mobile OLAP. Data & Knowledge Engi-
neering, Band 68, Nr. 2, S. 192–220, Februar 2009.
[MR12] Mertens, P.; Rässler, S. (Hrsg.): Prognoserechnung. Physica-Verlag,
7. Auflage, 2012.
[MRB99] Markl, V.; Ramsak, F.; Bayer, R.: Improving OLAP Performance by
Multidimensional Hierarchical Clustering. In: Proceedings of the
International Database Engineering and Applications Symposium
(IDEAS), S. 165–177, August 1999.
[MS93] Messerschmidt, H.; Schweinsberg, K.: OLAP mit dem SQL-Server.
dpunkt.verlag, 1993.
[MS02] Melton, J.; Simon, A.: SQL:1999 – Understanding Relational Lan-
guage Concepts. Morgan Kaufmann Publishers, San Francisco,
CA, 2002.
[MTC08] MacLennan, J.; Tang, Z.; Crivat, B.: Data Mining with Microsoft
SQL Server 2008. John Wiley & Sons, 2008.
[NH10] Naumann, F.; Herschel, M.: An Introduction to Duplicate Detecti-
on. Synthesis Lectures on Data Management. Morgan & Claypool
Publishers, 2010.
Literaturverzeichnis 331

Get Data Warehouse Technologien now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.