An Efficient Data Mining Dataset Preparation using Aggregation in Relational Database

Autor:	C. Nalini, S. Brintha Rajakumari
Rok vydání:	2014
Předmět:	SQL Multidisciplinary Computer science Data stream mining Relational database computer.software_genre Database design Column (database) Data set ComputingMethodologies_PATTERNRECOGNITION Relational database management system Data mining computer computer.programming_language Database model
Zdroj:	Indian Journal of Science and Technology. 7:44-46
ISSN:	0974-5645 0974-6846
DOI:	10.17485/ijst/2014/v7sp5.20
Popis:	To prepare the data set from relational database management system for data mining is very difficult and time consuming task. These prepared data can be used as input in data mining analysis. But traditional structured query language aggregate function returns the records in one column per aggregated group. This paper presents the horizontal representation of data used for dataset preparation in data mining analysis and reduce memory space when evaluated with the cancer dataset.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f1500f3acba9be574592cecac67ae4cc https://doi.org/10.17485/ijst/2014/v7sp5.20 Zobrazit plný text záznamu