Data Warehouse Technologien

Literaturverzeichnis

[AAD

+

96] Agarwal, S.; Agrawal, R.; Deshpande, P.; Gupta, A.; Naughton,

J. F.; Ramakrishnan, R.; Sarawagi, S.: On the Computation of

Multidimensional Aggregates. In: Proceedings of the Internatio-

nal Conference on Very Large Databases (VLDB), S. 506–521. San

Francisco, CA, 1996.

[Aba08] Abadi, D. J.: Query Execution in Column-Oriented Database Sys-

tems. Dissertation, Massachusetts Institute of Technology, 2008.

[ABH09] Abadi, D. J.; Boncz, P. A.; Harizopoulos, S.: Column-Oriented Da-

tabase Systems. Proceedings of the VLDB Endowment (PVLDB),

Band 2, Nr. 2, S. 1664–1665, 2009.

[ADHS01] Ailamaki, A.; DeWitt, D. J.; Hill, M. D.; Skounakis, M.: Weaving

Relations for Cache Performance. In: Proceedings of the Interna-

tional Conference on Very Large Data Bases (VLDB), S. 169–180.

Rom, Italien, 2001.

[Aic97] Aichele, C.: Kennzahlenbasierte Geschäftsprozessanalyse. Schrif-

ten zur EDV-orientierten Betriebswirtschaft. Betriebswirtschaftli-

cher Verlag Dr. Th. Gabler, 1997.

[Ail01] Ailamaki, A.: A Storage Model to Bridge the Processor/Memory

Speed Gap. In: High Performance Transaction Systems Workshop

(HPTS), 2001.

[AIS93] Agrawal, R.; Imieli

´

nski, T.; Swami, A.: Mining Association Rules

Between Sets of Items in Large Databases. In: Proceedings of the

International Conference on Management of Data (SIGMOD), S.

207–216. ACM, New York, NY, USA, 1993.

[AK11] Ashdown, L.; Kyte, T.: Oracle Database Concepts – 11g Release 2

(11.2). Oracle, 2011.

319

[AMH08] Abadi, D. J.; Madden, S.; Hachem, N.: Column-Stores vs. Row-

Stores: How different are they really? In: Proceedings of the Inter-

national Conference on Management of Data (SIGMOD), S. 967–

980. Vancouver, BC, Kanada, 2008.

[AS94] Agrawal, R.; Srikant, R.: Fast Algorithms for Mining Association

Rules in Large Databases. In: Proceedings of the International

Conference on Very Large Databases (VLDB), S. 487–499. Morgan

Kaufmann Publishers Inc., San Francisco, CA, USA, 1994.

[Ban03] Bange, C.: Business Intelligence: Systeme und Anwendun-

gen. Technischer Bericht, Business Application Research Center

(BARC), 2003.

[Bay97] Bayer, R.: UB-Trees and UB-Cache – A new Processing Paradigm

for Database Systems. Technischer Bericht, Institut für Informa-

tik, TU München, 1997.

[BC81] Bernstein, P. A.; Chiu, D.-M. W.: Using Semi-Joins to Solve Rela-

tional Queries. Journal of the ACM, Band 28, S. 25–40, 1981.

[BEPW11] Backhaus, K.; Erichson, B.; Plinke, W.; Weiber, R.: Multiva-

riate Analysemethoden - Eine anwendungsorientierte Einführung.

Springer-Verlag, 13. Auflage, 2011.

[BF] Bulos, D.; Forsman, S.: Getting Started with ADAPT. White Pa-

per, Symmetry Corporation. http://www.symcorp.com/downloads/

ADAPT

_

white

_

paper.pdf.

[BG04] Bauer, A.; Günzel, H. (Hrsg.): Data-Warehouse-Systeme: Architek-

tur, Entwicklung, Anwendung. dpunkt.verlag, 2. Auflage, August

2004.

[BKM08] Boncz, P. A.; Kersten, M. L.; Manegold, S.: Breaking the Memory

Wall in MonetDB. Communications of the ACM, Band 51, Nr. 12,

S. 77–85, 2008.

[BL08] Borowski, E.; Lenz, H.-J.: Design of a Workflow System to improve

Data Quality using Oracle Warehouse Builder. Journal of Applied

Quantitative Methods, Band 3, Nr. 3, S. 198–206, 2008.

[BM72] Bayer, R.; McCreight, E.: Organization and Maintenance of Large

Ordered Indexes. Acta Informatica, Band 1, Nr. 3, S. 173–189,

1972.

[BM98] Bayer, R.; Markl, V.: The UB-Tree: Performance of Multidimensio-

nal Range Queries. Technischer Bericht, Institut für Informatik,

TU München, 1998.

320 Literaturverzeichnis

[BM07] Bernstein, P. A.; Melnik, S.: Model Management 2.0: Manipulating

Richer Mappings. In: Proceedings of the International Conference

on Management of Data (SIGMOD), S. 1–12. ACM, New York, NY,

USA, 2007.

[BS06] Batini, C.; Scannapieco, M.: Data Quality: Concepts, Methodologies

and Techniques. Data-centric Systems and Applications. Springer-

Verlag, 2006.

[CCS93] Codd, E. F.; Codd, S. B.; Salley, C. T.: Providing OLAP (Online Ana-

lytical Processing) to User-Analysts: An IT Mandate. Arbor Soft-

ware Corporation, URL: http://www.arborsoft.com/OLAP.html,

1993.

[CD97] Chaudhuri, S.; Dayal, U.: An Overview of Data Warehousing and

OLAP Technology. SIGMOD Record, Band 26, S. 65–74, März

1997.

[CG04] Chamoni, P.; Gluchowski, P.: Integrationstrends bei Business-

Intelligence-Systemen. Wirtschaftsinformatik, Band 46, Nr. 2, S.

119–128, 2004.

[CG10] Chamoni, P.; Gluchowski, P.: Analytische Informationssysteme:

Business Intelligence-Technologien und -Anwendungen. Springer-

Verlag, 4. Auflage, 2010.

[Chr12] Christen, P.: Data Matching – Concepts and Techniques for Record

Linkage, Entity Resolution, and Duplicate Detection. Springer-

Verlag, Berlin, 2012.

[CHRS98] Christiansen, A.; Höding, M.; Rautenstrauch, C.; Saake, G.:

Oracle8 effizient einsetzen – Aufbau, Entwicklung, Verteilung und

Betrieb leistungsfähiger Oracle8-Anwendungen. Addison-Wesley,

Bonn, 1998.

[CI99] Chan, C. Y.; Ioannidis, Y. E.: An Efficient Bitmap Encoding Scheme

for Selection Queries. In: Proceedings of the International Confe-

rence on Management of Data (SIGMOD), S. 215–226. Philadel-

phia, PA, 1999.

[CK85] Copeland, G. P.; Khoshafian, S. N.: A Decomposition Storage Mo-

del. In: Navathe, S. (Hrsg.): Proceedings of the International Con-

ference on Management of Data (SIGMOD), Band 14, S. 268–279.

ACM Press, Austin, Texas, Mai 1985.

[Cod82] Codd, E. F.: Relational Database: A Practical Foundation for Pro-

ductivity. Communications of the ACM, Band 25, Nr. 2, S. 109–117,

Februar 1982.

Literaturverzeichnis 321