Title :
A Survey of the State of the Art in Data Mining and Integration Query Languages
Author :
Pllana, Sabri ; Janciak, Ivan ; Brezany, Peter ; Wöhrer, Alexander
Author_Institution :
Res. Group of Sci. Comput., Univ. of Vienna, Vienna, Austria
Abstract :
The major aim of this survey is to identify the strengths and weaknesses of a representative set of Data-Mining and Integration (DMI) query languages. We describe a set of properties of DMI-related languages that we use for a systematic evaluation of these languages. In addition, we introduce a scoring system that we use to quantify our opinion on how well a DMI-related language supports a property. The languages surveyed in this paper include: DMQL, Mine SQL, MSQL, M2MQL, dmFSQL, OLEDB for DM, MINE RULE, and Oracle Data Mining. This survey may help researchers to propose a DMI language that is beyond the state-of-the-art, or it may help practitioners to select an existing language that fits well a purpose.
Keywords :
SQL; data mining; DMQL; M2MQL; MINE RULE; MSQL; Mine SQL; OLEDB; Oracle Data Mining; data integration query languages; data mining; dmFSQL; scoring system; systematic evaluation; Association rules; Data models; Data visualization; Database languages; Delta modulation; Syntactics; Data mining; data integration; query languages;
Conference_Titel :
Network-Based Information Systems (NBiS), 2011 14th International Conference on
Conference_Location :
Tirana
Print_ISBN :
978-1-4577-0789-6
Electronic_ISBN :
2157-0418
DOI :
10.1109/NBiS.2011.58
