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Author: Admin | 2025-04-28
Activities.Disadvantages of Data MiningThe disadvantages of data mining are as follows:Privacy issuesPersonal privacy has constantly been a major concern irrespective of the wide usage of the Internet and its services in various organisations. In recent years, the concern about privacy has increased significantly in view of data leakage from trusted organisations. Owing to privacy issues, some people avoid shopping on the Internet. There is a constant apprehension that personal information of customers may be accessed and used in an unethical way.Security issuesAlthough companies have access to a considerable amount of personal information available online, they do not have sufficient security systems in place to protect that information.Misuse of information/inaccurate informationPatterns obtained through data mining are intended to be used for marketing or any other ethical purpose, but there is always a danger of it being misused. Unethical businesses or individuals may obtain this information through data mining and use it to harm individuals, groups or societyData Mining vs Predictive AnalyticsPredictive analytics is defined as the process of focussing on predicting the possible outcome using machine-learning techniques. Data mining is the process of discovering trends and patterns from large sets of data. Some of the differences between predictive analytics and data mining are shown in Table below:Data Mining Predictive AnalyticsData mining refers to the act of analysing and identifying patterns in massive amounts of data stored in a company’s data warehouse. Predictive analytics is used to analyse data in order to predict future occurrences.It tries to obtain patterns and trends that already exist in the data.It tries to forecast on the basis of previous data and scenarios.Effective data mining necessitates a strong mathematical foundation. As a result, machine learning engineers and statisticians are ideally equipped for data mining tasks. Predictive analytics necessitates a thorough understanding of business ideas as well as subject expertise. These jobs are best suited for business analysts and domain specialists.Article ReferenceElsevier Science & Technology. (2014). Predictive analytics and data mining.Business Analytics Tutorial(Click on Topic to Read)What is Data?Big Data ManagementTypes of Big Data TechnologiesBig Data AnalyticsWhat is Business Intelligence?Business Intelligence Challenges in OrganisationEssential Skills for Business Analytics ProfessionalsData Analytics ChallengesWhat is Descriptive Analytics?What is Descriptive Statistics?What is Predictive Analytics?What is Predictive Modelling?What is Data Mining?What is Prescriptive Analytics?What is Diagnostic Analytics?Implementing Business Analytics in Medium Sized OrganisationsCincinnati Zoo Used Business Analytics for Improving PerformanceDundas Bi Solution Helped Medidata and Its Clients in Getting Better Data VisualisationWhat is Data Visualisation?Tools for Data VisualisationOpen Source Data Visualisation ToolsAdvantages and Disadvantages of Data VisualisationWhat is Social Media?What is Text Mining?What is Sentiment Analysis?What is Mobile Analytics?Types of Results From Mobile AnalyticsMobile Analytics ToolsPerforming Mobile AnalyticsFinancial Fraud AnalyticsWhat is HR Analytics?What is Healthcare Analytics?What is Supply Chain Analytics?What is Marketing Analytics?What is Web Analytics?What is Sports Analytics?Data Analytics for Government and NGOEnterprise Resource Planning (ERP)Management Information Systems
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