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Data & knowledge engineering, v.89, 2014년, pp.1 - 20
Niemi, T. , Niinimaki, M. , Thanisch, P. , Nummenmaa, J.
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The industry trend towards self-service business intelligence is impeded by the absence, in commercially-available information systems, of automated identification of potential issues with summarization operations. Research on statistical databases and on data warehouses have both produced widely-ac...
Ariyan 6:1 2013 Proceedings of the 25th International Conference on Scientific and Statistical Database Management, SSDBM A multidimensional data model with subcategories for flexibly capturing summarizability
Data Knowl. Eng. Caniupan 79&80 0 17 2012 10.1016/j.datak.2012.04.002 Repairing inconsistent dimensions in data warehouses
Dittrich 1031 2005 Proceedings of the 31st International Conference on Very Large Data Bases, VLDB'05 Bridging the gap between OLAP and SQL
Data Knowl. Eng. Garcia-Garcia 69 1 73 2010 10.1016/j.datak.2009.08.008 Extended aggregations for databases with referential integrity issues
Golfarelli 2009 Data Warehousing and Knowledge Discovery, LNCS 5691/2009:287-297 Open source BI Platforms: a functional and architectural comparison
Inf. Syst. Gomez 34 6 551 2009 10.1016/j.is.2009.03.002 Spatial aggregation: data model and implementation
MIS Q. Hevner 28 1 75 2004 10.2307/25148625 Design science in information systems research
Horner 83 2004 Proceedings of the 7th ACM international workshop on Data warehousing and OLAP, DOLAP'04 An analysis of additivity in olap systems
Horner 433 2005 Proceedings of the 24th International Conference on Conceptual Modeling, ER'05 A taxonomy of inaccurate summaries and their management in OLAP systems
ACM Trans. Database Syst. Hurtado 30 3 854 2005 10.1145/1093382.1093388 Capturing summarizability with integrity constraints in OLAP
Johnson 93 1981 SIGMOD'81: Proceedings of the 1981 ACM SIGMOD International Conference on Management of Data Modelling summary data
Kimball 2002 The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Kimball 2010 The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence
Inf. Syst. Lechtenborger 28 5 415 2003 10.1016/S0306-4379(02)00024-8 Multidimensional normal forms for data warehouse design
Lehner 63 1998 SSDBM'98 Normal forms for multidimensional databases
Lenz 132 1997 SSDBM'97 Summarizability in OLAP and statistical data bases
Lenz 91 2001 SSDBM'01: Proceedings of the 13th International Conference on Scientific and Statistical Database Management OLAP databases and aggregation functions
J. Univ. Comput. Sci. Lenz 15 1 273 2009 A formal framework of aggregation for the OLAP-OLTP model
Data Knowl. Eng. Malinowski 59 2 348 2006 10.1016/j.datak.2005.08.003 Hierarchies in a multidimensional model: from conceptual modeling to logical representation
Theor. Comput. Sci. Malvestuto 385 13 264 2007 10.1016/j.tcs.2007.07.004 An analytical approach to the inference of summary data of additive type
Mazon 57 2008 DOLAP'08: Proceeding of the ACM 11th International Workshop on Data Warehousing and OLAP Solving summarizability problems in fact-dimension relationships for multidimensional models
Data Knowl. Eng. Mazon 68 12 1452 2009 10.1016/j.datak.2009.07.010 A survey on summarizability issues in multidimensional modeling
Meo-Evoli 239 1992 SSDBM'1992: Proceedings of the 6th International Working Conference on Scientific and Statistical Database Management On the semantic completeness of macro-data operators for statistical aggregation
Neumayr 61 2010 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110, APCCM'10 Hetero-homogeneous hierarchies in data warehouses
Niemi 2001 Proceedings of 3rd International Workshop on Design and Management of Data Warehouses Logical multidimensional database design for ragged and unbalanced aggregation hierarchies
Data Knowl. Eng. Niemi 46 1 317 2003 10.1016/S0169-023X(03)00035-1 Normalising OLAP cubes for controlling sparsity
Niemi 2010 Ontologies and summarizability in OLAP, Proceedings of the Semantic Web and Applications (SWA)
Pedersen 1113 336 1999 Multidimensional data modeling for complex data, Data Engineering, 1999
J. Supercomput. Pedersen 65 1 217 2013 10.1007/s11227-011-0712-3 On-demand multidimensional data integration: toward a semantic foundation for cloud intelligence
Data Knowl. Eng. Prat 70 8 732 2011 10.1016/j.datak.2011.03.004 Combining objects with rules to represent aggregation knowledge in data warehouse and olap systems
Pu 1 2005 DOLAP'05: Proceedings of the 8th ACM International Workshop on Data Warehousing and OLAP Modeling, querying and reasoning about OLAP databases: a functional approach
Rafanelli 14 1990 SSDBM'90 Storm: a statistical object representation model
Decis. Support. Syst. Shin 42 1 267 2006 10.1016/j.dss.2004.12.004 Denormalization strategies for data retrieval from data warehouses
Shoshani 208 1982 VLDB'82: Proceedings of the 8th International Conference on Very Large Data Bases Statistical databases: characteristics, problems, and some solutions
Si-Said Cherfi 140 2003 ER (Workshops) Multidimensional schemas quality: assessing and balancing analyzability and simplicity
Spahn 2008 Proceedings of the First International Workshop on Ontology-Supported Business intelligence Supporting business intelligence by providing ontology-based end-user information self-service
Science Stevens 103 2684 677 1946 10.1126/science.103.2684.677 On the theory of scales of measurement
Thomsen 1999 Microsoft OLAP Solutions
Computer Watson 40 9 96 2007 10.1109/MC.2007.331 The current state of business intelligence
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