• P. Sasikumar
• KT Meena Abarna

Progress in computer and communication technologies necessitates novel perspectives on distributed computing environments and the establishment of distributed data repositories for accommodating vast data volumes. In such contexts, the extraction of meaningful patterns from multiple data sources poses a formidable challenge within the data mining community. The domain of multi-database mining (MDM) arises as a propitious research area, evidenced by the considerable endeavors undertaken in recent epochs. Techniques for knowledge discovery from multiple data sources can be broadly classified into two categories, namely (1) mono-database mining and (2) local pattern analysis. The primary objective of this survey is to explicate the underlying principles of these methodologies, amalgamating research contributions, and elucidating their significance and constraints.

Multi-database Mining, Patter Extraction, MDM, Mono-database Mining, Local Pattern Analyses

"Exploring Patterns Extraction Techniques and Methodologies from Multiple Data Sources: A Comprehensive Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.k436-k444, June-2022, Available :http://www.jetir.org/papers/JETIR2206A61.pdf

"Exploring Patterns Extraction Techniques and Methodologies from Multiple Data Sources: A Comprehensive Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppk436-k444, June-2022, Available at : http://www.jetir.org/papers/JETIR2206A61.pdf