Name
Abstract | ||
|---|---|---|
Ubiquitous devices and applications generate data, whose natural feature is order. Most of the commercial software and research prototypes for data analytics allow to analyze set oriented data, neglecting their order. However, by analyzing both data and their order dependencies, one can discover new business knowledge. Few solutions in this field have been proposed so far, and all of them lack a comprehensive approach to organize and process such data in a data warehouse-like manner. In this paper, we contribute an SQL-like query language for analyzing sequential data in an OLAP-like manner, its prototype implementation and performance evaluation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-22849-5_28 | DEXA |
Field | DocType | Citations |
SQL,Data mining,Sequential data,Query language,Virtual machine,Data analysis,Computer science,Commercial software,Business knowledge,Analytics,Database | Conference | 2 |
PageRank | References | Authors |
0.38 | 26 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bartosz Bebel | 1 | 98 | 6.78 |
| Tomasz Cichowicz | 2 | 10 | 1.17 |
| Tadeusz Morzy | 3 | 487 | 282.62 |
| Filip Rytwiński | 4 | 3 | 0.73 |
| Robert Wrembel | 5 | 294 | 34.71 |
| Christian Koncilia | 6 | 171 | 15.69 |