Mining Multiple Large Databases

Citations Over TimeTop 10% of 2007 papers

Abstract

Effective data analysis with multiple databases requires highly accurate patterns. But, local pattern analysis might extract low quality of patterns from multiple databases. Thus, it is necessary to improve mining multiple databases. In this paper, we propose a new technique of mining multiple databases. In this technique, each local database is mined using a traditional data mining technique in a particular order for synthesizing global patterns. The proposed technique improves quality of synthesized global patterns significantly. We conduct experiments on both real and synthetic datasets to judge effectiveness of the proposed technique.

Related Papers

• → PACWON: A parallelizing compiler for workstations on a network(1998)
• Study and Two Types of Typical Usage of DataGrid Web Server Control(2005)
• Achieving Parameter of DBSCAN Based on Datagrid(2010)
• Using DataGrid Control to Realize DataBase of Querying in VB6.0(2000)
• Susquehanna Chorale Spring Concert "Roots and Wings"(2017)