By Vicky Nassis, R. Rajugan, Tharam S. Dillon, Wenny Rahayu (auth.), Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß (eds.)
This booklet constitutes the refereed lawsuits of the sixth foreign convention on info Warehousing and data Discovery, DaWaK 2004, held in Zaragoza, Spain, in September 2004.
The forty revised complete papers provided have been rigorously reviewed and chosen from over a hundred submissions. The papers are prepared in topical sections on info warehouse layout; wisdom discovery framework and XML facts mining, info cubes and queries; multidimensional schema and information aggregation; inductive databases and temporal principles; commercial purposes; info clustering; info visualization and exploration; info category, extraction, and interpretation; info semantics, organization rule mining; occasion series mining; and development mining.
Read or Download Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004. Proceedings PDF
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Extra info for Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004. Proceedings
This means that the dimension table Customer is virtually partitioned using range partitioning on Gender column. In this paper, we conduct experiments to show the effect of the combination of the three major optimization techniques by using the APB1 benchmark  under Oracle 9i. Along this study, the effect of updates (append and delete operations) is considered. Since the derived horizontal partitioning is not directly supported by commercial RDBMSs like Oracle9i, we present an implementation to make it operational (in this paper, we use fragmentation and partitioning interchangeably).
Therefore, we need to partition the fact table into a reasonable number of segments. TI and TP Model: It appears that partitioning is in general much more interesting than join indexes. Join indexes give better results only for high selectivity and small values of and (this means that the query frequency is almost the same as the update frequency). These series of experiments summarize the following tuning recommendations when optimizing a parameterized query: Rule 1: Data partitioning is recommended when (1) the selectivity factor of restriction predicate used in the query is low or (2) when the frequency of the update operation is low compare to the query frequency.
Int. on Spatial and Temporal Databases, (SSTD). (2001). 15. : Indexing SpatioTemporal Data Warehouses. Proc. Int. Conf. on Data Engineering (ICDE). (2002) 16. , Rao, F,. : Spatial Hierarchy and OLAP-Favored Search in Spatial Data Warehouse, Proc. Int. Workshop on Data Warehousing and OLAP (DOLAP). (2003). 17. L.. Spatial OLAP: Conquering Geography. DB2 Magazine. (1999) 18. : On Data Warehouse and GIS integration. Proc. Int. Conf. on Database and Expert Systems Applications (DEXA). (2000) GeoDWFrame 37 19.