Data Extracting And Mining Platform Based On Kettle And Weka

With the development of society,the digital construction of modern enterprises has become an inevitable trend.In the process of development and growth,al l departments have independent business systems.Due to different business,his torical reasons,human factors,etc,data cannot be shared between platforms,for ming a dilemma of “information islands”.On the other hand,as time goes by,the company's data will continue to increase.Our ability to read and understan d is limited relative to the large amount of data accumulated,and these data of ten do not intuitively show their inherent laws.Therefore,it is often necessary to discover the hidden relationships behind the data.The basic path of informatization is to extract data from different businessdata bases and form a data warehouse,and to mine the data in the data warehouse to obtain knowledge.However,in some of the current tools,"extraction" and "excavation" are usually performed by two separate systems,which is not con ducive to user operations and expansion.And a few commercial tools that inte grate data extraction and data mining capabilities are very expensive.This article is based on data sharing,data mining needs,price and platform co nsiderations.Designed a free,WEB-oriented data transfer and mining integratio n platform.The platform is based on the two open source data extraction and data mining platforms of Kettle and Weka.The data exchange and mining fu nctions are transplanted to the Web through the framework of Spring+Mybatis,design and implement data source management,data transfer,task managemen t,data mining and other functional modules.The data can be transmitted and analyzed on the browser,so that people can perform data analysis only throug h the browser,which is more convenient and more accurate.Tests have shown that the system has achieved the expected results.