Name
Abstract | ||
|---|---|---|
We discuss the framework for applying knowledge about internal structure of data values to better handle alphanumeric attributes in one of the analytic RDBMS engines. It enables to improve data storage and access with no changes at the data schema level. We present the first results obtained within the proposed framework with respect to data compression ratios, as well as data (de)compression speeds. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21916-0_42 | ISMIS |
Keywords | Field | DocType |
data schema level,proposed framework,alphanumeric data attribute,data compression ratio,internal structure,analytic rdbms engine,compression speed,data value,injecting domain knowledge,alphanumeric attribute,data storage,data compression | Alphanumeric,Compression (physics),Data mining,Domain knowledge,Computer science,Computer data storage,Database schema,Relational database management system,Data compression,Applying knowledge | Conference |
Volume | ISSN | Citations |
6804 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcin Kowalski | 1 | 16 | 3.03 |
| Dominik Şlȩzak | 2 | 729 | 50.65 |
| Graham Toppin | 3 | 20 | 2.62 |
| Arkadiusz Wojna | 4 | 183 | 12.82 |