Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Robert Fenk"'
Autor:
Roland Pieringer, Nikos Karayannidis, Timos Sellis, Robert Fenk, Volker Markl, Rudolf Bayer, Klaus Elhardt, Aris Tsois, Frank Ramsak
Publikováno v:
ICDE
Efficient star query processing is crucial for a performant data warehouse (DW) implementation and much work is available on physical optimization (e.g., indexing and schema design) and logical optimization (e.g., pre-aggregated materialized views wi
Publikováno v:
IDEAS
Advanced data warehouses and Web databases have set the demand for processing large sets of time ranges, quality classes, fuzzy data, personalized data and extended objects. Since, all of these data types can be mapped to intervals, interval indexing
Publikováno v:
IDEAS
Online analytical processing (OLAP) requires query response times within the range of a few seconds in order to allow for interactive drilling, slicing, or dicing through an OLAP cube. While small OLAP applications use multidimensional database syste
Publikováno v:
IDEAS
We consider the issue of bulk loading large data sets for the UB-Tree, a multidimensional index structure. Especially in data warehousing (DW), data mining and OLAP it is necessary to have efficient bulk loading techniques, because loading occurs not
Autor:
Klaus Elhardt, Rudolf Bayer, Aris Tsois, Timos Sellis, Nikos Karayannidis, Robert Fenk, Frank Ramsak, Volker Markl, Roland Pieringer
Publikováno v:
VLDB
Star queries are the most prevalent kind of queries in data warehousing, OLAP and business intelligence applications. Thus, there is an imperative need for efficiently processing star queries. To this end, a new class of fact table organizations has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fb3f9a00ce4c48522f98618347018d8
https://doi.org/10.1016/b978-155860869-6/50070-6
https://doi.org/10.1016/b978-155860869-6/50070-6
Conference
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