Privacy Issues Of Data Mining And Data Publishing

Data mining and analysis has become a crucial part of modern business strategy, as many companies use such tactics to maximize their success. In fact, the most successful companies such as Amazon, Nordstrom, Target, Walmart, etc., thrive on analyzing customers’ purchasing behavior in order to deliver more targeted marketing. Data mining is the practice of analyzing data, such as purchasing behavior, customer demographic, customer needs and wants, transaction history, and banking habits in order to find patterns that are useful to business strategies and company success. As customers started to become aware that companies were analyzing their information, questions about the morality of data mining arose. Should companies be able to data mine and analyze personal information to increase their success? Should this right to data mine extend to the government as well? Essentially, this is a question that roots back to the never-ending controversy of the right to privacy. In simpler terms, it is a question that explores whether companies and the government should be able gather, store, and analyze personal, and sometimes private information. I believe companies should be able to use data mining because it helps companies become more successful and benefits customers, but this right should not be extended to the government as it intrudes upon the right to privacy.

To begin with, Dell software an information technology enterprises describes Data Mining as “an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the

The amount of data produced in the world is increasing exponentially, and we are a part of this phenomenon. We all use email, phones, social media, and credit cards. The new technologies that we are bringing home, such as smart cars and smart TVs, are collecting more and more data. Boyd and Crawford exposed the imperfections of the Big Data industry, and they have shown that we cannot assume that the industry will solve its own problems. By using all these technologies, we have given Big Data access to our finances, social interactions, homes, and minds. Big Data offers imperfect people tools that can be used for good and evil. If we are blind to how our data is being collected, the industry will continue misusing our data. But if we pay attention, and demand the technology companies respect our privacy, they will be forced to have higher standards. Currently, our society has ignored how our privacy is being jeopardized. As Boyd and Crawford noted, we don’t have the tools and access of researches, and our often unaware of the algorithms collecting our information (759,760). But we do have power. We can voice our concerns, or find alternatives to services that don’t respect us. We can use the tools we have access to for good, just like Big Data has been used

“If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that?,” asked by Andrew Pole’s colleagues. In today’s day and age of technology, data mining can be easily used to compile huge capacities of data that is validated to calculate patterns of the data from the information such as name, address, date of birth, credit card numbers, and social security numbers that people have submitted to the Internet through purchases, advertising, and profiles everyday. Although data mining seems harmless, it allows companies to gather information to improve the business by making ethical decisions; therefore, this can raise concerns with privacy and security of the person and/or their personal information that

Data Mining is an analytical process that primarily involves searching through vast amounts of data to spot useful, but initially undiscovered, patterns. The data mining process typically involves three major steps—exploration, model building and validation and finally, deployment.

In addition, there are more personal data being collected as the cost of information technology falls. Although, collecting such data undeniably provides economic benefits, it has proved impossible to keep data completely protected against criminal misuse (Roberds and

of big data are obvious but we also have to ensure our privacy at the same time. If we ensure privacy in

With the advent of computer technologies that can store large quantities of data, cross reference that data, and compute patterns in the data, benefits abound in many applications. However, with it comes new ethical concerns regarding the privacy and security of the persons or entities in which the information was sourced. While permission may have been received with each bit of information, which may have appeared harmless to divulge, there are issues regarding the data's ownership -- its sharability in US or globally, its combination with other data, its accuracy, its security, and its overall end use [1] -- that could contribute to privacy or

Accordingly, this essay will consider the importance of informational privacy and the potential harms resulting from Big Data use. It will be argued that the existing mechanisms are inadequate to address the informational privacy concerns surrounding Big Data.

Data Mining, a sub-branch of computer science, involving statistics, methods and calculations to find patterns in large amount of data sets, and database systems. Generally, data mining is the process to examine data from different aspects and summarizing it into meaningful information. Data mining techniques depict actions and future trends, allowing any individual to make better and knowledge-driven decisions.[1][2]

As we live our everyday lives day to day, data is being gathered from each and every one of us; often without our consent or realization. Data is being gathered constantly when we subscribe to magazines, when we use coupons, when we use our credit cards and when we browse the Internet. Following the 9/11 attacks, the government and law enforcement proposed to develop an airline traveler screening program that would consolidate these pieces of consumer data information. It was not implemented due to its controversial nature. However, privacy and civil liberty advocates are constantly questioned, “What are you afraid of? What do you have to hide? If you haven 't done anything wrong, what 's there to worry about?". They insinuate that data is harmless, but according to law professor, Jeffrey Rosen’s book The Unwanted Gaze, you are not your profile. These datasets can contain errors. Furthermore, data misuse and the revelation of information to strangers can lead to misjudgment, wrong conclusions and violations of privacy rights. Therefore, I will look at the topic of data mining, “a set of methodologies for extracting knowledge from datasets” (Robinson, 2015) as it relates to the balance of public interest and privacy rights. Thus, this paper will analyze the arguments of Kaplan, Al-Saggaf & Islam, Bahamonde et al., McCaul & Meehan and Robinson as they relate to the problem of unregulated data mining. The first

In a modern life, from the minute a person is born, a digital record is created. From that point on, the individual’s behavior is regularly tracked and information are collected about the typical parts of the person life such as when government collect data about our health, education and income, we hope that the data are used in good way. However, we always have concerned about our privacy. Liina Kamm did her research on the Information Security Research Institute of Cybernetica AS. Kamm worked with development team of the secure data analysis system Sharemind to develop she developed a convenient privacy-preserving data analysis tool Rmind to help on the future privacy

As coined in an article in the St. Louis Post-Dispatch by Aisha Sultan, “Data is the new world currency.” Data mining is the process of analyzing data from different perspectives and then summarizing it into useful information. In essence is it applying all different types of what if scenarios on large swaths of data to get possible results to aid in better decision making. This sort of decision making isn’t something new, it’s the technology aiding the decision making that is new. This has reduced the amount of time it takes in the decision making process and given the

With the increased and widespread use of technologies, interest in data mining has increased rapidly. Companies are now utilized data mining techniques to exam their database looking for trends, relationships, and outcomes to enhance their overall operations and discover new patterns that may allow them to better serve their customers. Data mining provides numerous benefits to businesses, government, society as well as individual persons. However, like many technologies, there are negative things that caused by data mining such as invasion of privacy right. This paper tries to explore the advantages as well as the disadvantages of data mining. In addition, the ethical and global issues regarding the use of data mining

Due to the rapid growth in the use of Internet and its connected tools, an enormous amount of data are being produced on a daily basis. The concept of big data arrives when we were unable to manage this huge data with traditional methods. Big data is a mechanism of capturing, storing and analyzing the big datasets and also an idea of extracting some value from it. It is very handful while determining the root causes of failures, issues and defects in near-real time, creating coupons and other sales offers according to the customers shopping patterns, detecting any suspicious and fraudulent activities in real-time. As it is very advantageous, it also has some issues. Some of the common issues can be characterized into heterogeneity, complexity, timeless, scalability and privacy. The most important and significant challenge in the big data is to preserve privacy information of the customers, employees, and the organizations. It is very sensitive and includes conceptual, technical as well as legal significance.