A survey on mining multiple data sources

作者：Ramkumar T^*; Hariharan S; Selvamuthukumaran S

来源：Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, 2013, 3(1): 1-11.

DOI：10.1002/widm.1077

Advancements in computer and communication technologies demand new perceptions
of distributed computing environments and development of distributed
data sources for storing voluminous amount of data. In such circumstances, mining
multiple data sources for extracting useful patterns of significance is being
considered as a challenging task within the data mining community. The domain,
multi-database mining (MDM) is regarded as a promising research area as evidenced
by numerous research attempts in the recent past. The methods exist
for discovering knowledge from multiple data sources, they fall into two wide
categories, namely (1) mono-database mining and (2) local pattern analysis. The
main intent of the survey is to explain the idea behind those approaches and consolidate
the research contributions along with their significance and limitations.

• 出版日期2013-2