A Decathlon in Multidimensional Modeling: Open Issues and Some Solutions
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Conceptual multidimensional models
Multidimensional databases
OLAP over uncertain and imprecise data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
OLAP over uncertain and imprecise data
The VLDB Journal — The International Journal on Very Large Data Bases
Pre-aggregation with probability distributions
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Warehousing the world: a few remaining challenges
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Supporting OLAP operations over imperfectly integrated taxonomies
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Representation of Uncertain Knowledge in Probabilistic OLAP Model
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
AlphaSum: size-constrained table summarization using value lattices
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Closed Non Derivable Data Cubes Based on Non Derivable Minimal Generators
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Reducing metadata complexity for faster table summarization
Proceedings of the 13th International Conference on Extending Database Technology
Web services for accuracy-based spatial query rewriting in a wrapper-mediator system
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
Repairing inconsistent dimensions in data warehouses
Data & Knowledge Engineering
International Journal of Mobile Computing and Multimedia Communications
Extended dimensions for cleaning and querying inconsistent data warehouses
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
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On-Line Analytical Processing (OLAP) technologies are being used widely, but the lack of effective means of handling data imprecision, which occurs when exact values are not known precisely or are entirely missing, represents a major obstacle in applying these technologies in many domains.This paper develops techniques for handling imprecision that aim to maximally reuse existing OLAP modeling constructs such as dimension hierarchies and granularities. With imprecise data available in the database, queries are tested to determine whether or not they may be answered precisely given the available data; if not, alternative queries unaffected by the imprecision are suggested. When processing queries affected by imprecision, techniques are proposed that take into account the imprecision in the grouping of the data, in the subsequent aggregate computation, and in the presentation of the imprecise result to the user. The approach is capable of exploiting existing OLAP query processing techniques such as pre-aggregation, yielding an effective approach with low computational overhead and that may be implemented using current technology.