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

fYear

2011

Firstpage

341

Lastpage

348

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Network-Based Information Systems (NBiS), 2011 14th International Conference on

Conference_Location

Tirana

ISSN

2157-0418

Print_ISBN

978-1-4577-0789-6

Electronic_ISBN

2157-0418

Type

conf

DOI

10.1109/NBiS.2011.58

Filename

6041580