Classification of Databases for Multi-Database Mining
Year: 2013
Type: preprint
Abstract: Classification of multi-databases plays a vital role in scenarios where we need to mine information from databases spread across several branches. It becomes essential to integrate all these databases together and mine them at a single place to reduce the quantity. In order to reduce the mining effort, the paper deals with the problem of identifying ‘relevant’ databases, so that similar databases can be grouped under one class label based on various threshold values. The paper focuses on clustering of databases using ‘Greedy Algorithm’, and evaluation is performed using ‘Goodness Measure’. To test the software for classifying databases with various database configurations, a synthetic database generator was also developed.
Source: SSRN Electronic Journal
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2255992841