Data Mining
By: Fonta • Research Paper • 2,767 Words • March 26, 2010 • 1,134 Views
Data Mining
Where’s All My Info?
How much personal information remains private in today’s world? Data mining is a huge industry that intrudes in the lives of society by gathering information on individuals legally but without knowledge or consent. As Yu-Chin Lin explains in his article “A New Approach to Generate Patterns from Enterprise Databases” in Notes in Computer Science, data mining is a business that thrives on opportunity, taking advantage where it sees fit, recording online transactions, internet histories, and buying spending habits from retailers. It also acquires bank information such as credit card numbers, mother’s maiden name, and social security numbers. Not only do data companies collect sensitive data, but they also collect birthdates, height, eye and hair color, current and former addresses, religion, criminal and arrest records, sexual preference, friends and relatives, medical conditions and more. This data is cross checked several times and entered into databases where it is stored along with millions of other entrants (Lin 371).
Data mining companies, that collect information on individuals, sell the information in such forms as background checks and personal information portfolios. Companies that buy this information the most include banks, insurance companies, law firms, the media, marketers, private investigators, and law enforcement and other government agencies. There are problems with having a large amount of private data on a consumer. The data is not always stored in a secure location and is susceptible to hack and information loss. The data is stored in large amounts with several individuals in a central location; once a hacker is in, he has access to several hundreds of thousands of “pages” of data. These data companies are not listening to anyone but their lawyers on how they should protect and store the data they collect. Data mining is becoming a large business and has the potential to get out of control. The Federal government should implement regulations on the collection of data, notifying individuals about their data, and the usage of private data once collected.
Companies that collect data argue that data collection is not illegal and that they safeguard their material effectively against data theft and loss. The article “Commercial Personal Data Collection” from Issues and Controversies explains that data collection companies are “generally interested in safeguarding it [the data] to the best of their abilities.” The article goes on to talk about a data company that recently had a large amount of data stolen from its databases. “The value of stock dropped significantly in the wake of the security breach revelations. Companies will do whatever is necessary to keep their image and value intact” (“Commercial”). Companies who are public and have shareholders need to maintain a business image. When data mining companies have large security breaches the shareholders view this as a weakness in the company and sell the stock. This drops the value of the company and presents the company in a bad light. All businesses want their stock to be rising because it shows positive growth in the company. Like all businesses data collection companies strive to maintain a positive image. Data loss presents a negative image for data mining companies and is a sign of bad business. Data mining companies will protect their information as much as necessary to maintain positive growth and good business.
Many critics also reply that consumers have a choice as to how much information they allow for companies to collect. They suggest that people who are worried about data mining of their credit histories can choose to not rely on credit cards as much for their financial transactions. They believe legal regulations should not dictate people’s privacy, but they believe it’s acceptable to regulate a person’s awareness and the choices they make. “The correct approach, obviously, is for consumers to be educated about what they reveal when they interact online and in business” comments Jim Harper in Data Mining and Predictive Analysis (Qtd in McCue 37). Data mining companies believe that consumers have the right to regulate their own personal data and that consumer awareness is important. Data collection companies state, that consumer awareness can help control how much data a user allows to be mined.
Another problem opponents believe regulating commercial data collection will have, is that it infringes on the freedom of speech. For example, “When companies make consumer information available, it is in a form of commercial speech, they maintain, meaning that in most cases it is protected from regulation that is ‘more extensive than necessary’” (“Commercial”). Assuming that consumers have a certain amount of choice in how much information they reveal, critics