Publication | Closed Access
Data Mining Methods, Applications, and Tools
87
Citations
3
References
2000
Year
EngineeringBusiness IntelligenceData WarehousePattern MiningMining MethodsText MiningEnormous Enterprisewide DatabasesOptimization-based Data MiningKnowledge Discovery In DatabasesData ScienceData MiningLarge-scale DataManagementIntelligent Data AnalysisData IntegrationData Mining MethodsData WarehousingData ManagementKnowledge Discovery ProcessData ModelingPredictive AnalyticsKnowledge DiscoveryAbstract OrganizationsEvolutionary Data MiningData EngineeringBig Data
Data warehousing has enabled large enterprise databases, yet the rapid growth of data creates a challenge to interpret and transform it into useful information, for which data mining offers a solution. The article aims to provide a comprehensive overview of data mining technology. It reviews the methods, support tools, and applications of data mining.
Abstract Organizations have been actively implementing data warehousing technology, which facilitates enormous enterprisewide databases. As a result, the amount of data that organizations possess is growing at a phenomenal rate. the next challenge for these organizations is how to interpret the data and how to transform it into useful information and knowledge. Data mining is one technology used for meeting this challenge. This article gives a comprehensive view of the technology's methods, support tools, and applications.
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