Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Multiple Data Source Discovery with Group Interaction Approach

Authors
Hao Wu
Corresponding Author
Hao Wu
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.707How to use a DOI?
Keywords
Data mining, multiple data source mining, interaction, difference detection
Abstract
Medical researchers seek to identify and predict profit (or effectiveness) potential in a new medicine B against a specified disease by comparing it to an existing medicine A, which has been used to treat the disease for many years, called medicine assessment. Applying traditional data mining techniques to the medicine assessment, one can discover patterns, such as A.X=a B.Y=b, which are identified at the attribute-value level. These patterns are useful in predicting associated behaviors at the attribute-value level. However, to evaluate B against A, we have to obtain globally useful relations between B and A at an attribute level. Therefore, this paper proposes a group interaction approach for multiple data source discovery. Group interactions include, such as rules, differences, and links between datasets. These group interactions are discovered at the attribute level. For example, R(A.X, B.Y), where R is a relationship, or a predication. Some examples are presented for illustrating the use of the group interaction approach.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.707How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hao Wu
PY  - 2013/03
DA  - 2013/03
TI  - Multiple Data Source Discovery with Group Interaction Approach
BT  - Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2833
EP  - 2836
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.707
DO  - https://doi.org/10.2991/iccsee.2013.707
ID  - Wu2013/03
ER  -