Knowledge Discovery In Data Mining

Therefore the ethos of the article influences on a reader’s trust of the source. Furthermore, the fact that Alter presents the information in quite a confident way also adds to the sense of

Trust being the most important of these elements, but trust like respect cannot be demanded; it had to be earned. (Pullen and Mathias, 2010). Throughout this activity, I have been able to put

When we use the word trust, we need to be specific about what we area talking about; we need context. To do that , we must

Timothy Caluya ECON 158 February 14, 2018 Class Paper Analysis Picture yourself walking down a busy street that is filled with many people. As you survey around, you notice a familiar face through the crowd of people. As you take a closer look, you notice it is your childhood friend. As this moment occurs, have you ever asked yourself, "why do I notice this person out of the many people in this area?" Could it be because of their looks?

Data security is usually one of the main priorities for corporate and small businesses. It is a type of security that protects data in databases from hackers or unauthorized users. These databases consist of financial information, sales numbers, and other key business information. The security provides privacy measures to prevent access and corruption to the company’s computers, databases, and websites.

Assignment 3: Business Intelligence and Data Warehouses Student: Juan C. Lord Course: CIS11 Professor: Jodine Burchell Strayer University 8/30/2017 Business Intelligence and Data Warehouses We all know what a database and a database warehouse is but do we know the differences? Well typically, the online transaction-processing database is like a health system that keeps records of vast patients. This database is usually has one application. This type of Databases does not have analytics.

Although data mining can be extremely valuable in many applications (e.g. business, medical analysis, etcetera) it can also, in the absence of adequate safeguards, violate informational privacy. Privacy can be violated if personal data are used for other purposes subsequent to the original transaction between an individual and an organization when the information was collected. During the whole process of data mining (gathering of data to discovery of knowledge) these data, which generally contain sensitive individual information such as medical and financial information, often get exposed to collectors, owners, users and miners. The huge amount of data available means that it is possible to learn a lot of information about individuals from public data. Privacy preserving has originated as an important concern with reference to the success of the data mining.

In this paper, Pamela Hieronymi argues that trustworthiness is the most important reason that we trust in a person, not any other practical reasons about the importance of the act of trust itself, or any evidential reasons to trust in that person. She tries to show that we might trust for many reasons such as value or importance of trust, but these are secondary reasons that we trust someone; we trust a person because we find her/him trustworthy. When we talk about trust in this context, we focus on a three-place formulation i.e. ‘to trust someone to do something.’ Another important assumption is that trustworthiness and trusting action are distinct concepts.

Even though organizations hold huge amount of data, they cannot use them effectively as they are unstructured. However new technologies are now available which enable analysis of large, complex, unstructured data. The accessibility of technology has become easy; as a result, there is massive increase in data amounts available with the entrepreneurs. The data usage depends on the ability the way it is stored, managed and then analyzing it adequately. Big data is an upcoming and emerging trend in the field of Information technology.

Trust is a complex concept, as it can be characterized as feeling a strong sense of loyalty and reliability or the action of being able to disclose secrets and personal information to a dependable individual. Trust is a necessity in human nature, as it is fundamental for the foundations of relationships with family and friends among us. Trust is remarkably diverse. In fact, the most ordinary human interactions would be nearly impossible without trust in some degree. The element of trust is also something that can be gained and lost.

Need for Trust Definition of Trust Johnson-George and Swap (1982: 1306) asserted that "willingness to take risks may be one of the few characteristics common to all trust sit- uations." Boyle & Bonacich (1970) Past interactions, index of caution based on prisoners' dilemma outcomes Butler (1991) Availability, competence, consistency, discreetness, fairness, integrity, loyalty, openness, promise fulfillment, receptivity Cook & Wall (1980) Trustworthy intentions, ability Dasgupta (1988) Credible threat of punishment,

Technology is growing at a fast pace and every day we see a new product or service that is available. Many times it is hard to even keep up with the latest phone, computer, game console, or software. There are so many different gadgets to choose from and even the internet is on information overload. As a result, we can no longer truly expect to have privacy.

"While the Internet-based economy provides many benefits, it also raises new concerns for maintaining the privacy of information. “Internet privacy is the privacy and security level of personal data published via the Internet. It is a broad term that refers to a variety of factors, techniques and technologies used to protect sensitive and private data, communications, and preferences.”[1] As the federal government’s National Telecommunications and Information Administration (NTIA)[2] explains: Every day, billions of people around the world use the Internet to share ideas, conduct financial transactions, and keep in touch with family, friends, and colleagues. Users send and store personal medical data, business communications, and even intimate conversations over this global network.

1.1. DATA MINING Data mining refers to extracting or mining knowledge from large amounts of data. Data mining has attracted a great deal of attention in the information industry and in society as a whole in recent years, due to the wide availability of huge amounts of data and the forthcoming need for turning such data into useful information and knowledge. The information and knowledge gained can be used for applications ranging from market analysis, fraud detection, and customer retention, to production control and science exploration.

As I have mentioned earlier Putnam (2001) does not give more explanation and attention on the social trust and the two types of the social trusts name as thick trust and thin trust. Fukuyama (1995) has given more attention to the social trust and social capital. Therefore, I have used Fukuyamas view on social trust and social capital in this study. Fukuyama (1995:) has explained the trust; “social capital is a capability that arises from the prevalence of the trust in a society or in a certain part”.