Privacy issues with data mining
Organizations use the process of data mining to convert raw data into data, which is useful and informational. The method uses software, and with advanced technology, it provides several benefits. However, the data mining process has some disadvantages. The use of the data mining process concerns many issues like legal, ethical, and privacy. The report will provide the privacy issues related to the data mining process with substantial. The main problem faced by organizations is privacy issues. Using data mining with the increased use of information, the transfer of personal data and personal information results in different cybercrime like identity theft. The leading cause of privacy issues has so much to be discussed. Although the company needs different information useful from the data mining process, the organizations also obtain personal information in bulk and face issues. Personal data can be accessed easily by a third party or hacker from the organization, or it can be sold out without the knowledge of the organization. Personal data includes the habits of consumers, online behavior, shopping lists, records, and health care lists. The data should be used for informational intelligence, business systems, or statistics, but with technology abused, it can easily be leaked. The government and organization use the data mining process to arrange the database, but a single copy of the data can create issues. The main concern it the process does not initially ask the permission of the respondent for reusing the data, which breaches the policy. It has been showing in different reports that the standards are not followed by the data mining process to protect the privacy, and thus, the laws need amendments.
The data used for different purposes does not notify the users that the data is used for a specific purpose to be fulfilled. The notification does not allow that how the data will be accessed, who will access it, the reason for accessing the data, and how data will be secured a data. The data brokers increase the risks of data being hacked, or it can be lost. The storage of personal information without any security can result in serious cybercrimes. To protect the privacy of the individual, the data mining professional must follow the legal obligations to follow the rules. Still, the laws are violated, and the contract gets breached. If the data mining applications do not use re-identification, the data can be tracked and accessed easily. There is a number of companies that for snot follow the process and do not ask for permissions to their customers to use their information. The companies sell customers’ personal data to other companies for personal targeting of the market. Due to its complexity to be designed and to follow several steps, the security systems sometimes fail to provide security against data loss. The companies performing the data mining process practices wrong actions, which lead to privacy issues concerns like not keeping track of the data mining process step to step, using wrong algorithms and measurement methods, and using the wrong problem.