Data Mining And Internet Security Essay

Data mining is another concept closely associated with large databases such as clinical data repositories and data warehouses. However data mining like several other IT concepts means different things to different people. Health care application vendors may use the term data mining when referring to the user interface of the data warehouse or data repository. They may refer to the ability to drill down into data as data mining for example. However more precisely used data mining refers to a sophisticated analysis tool that automatically dis­ covers patterns among data in a data store. Data mining is an advanced form of decision support. Unlike passive query tools the data mining analysis tool does not require the user to pose individual specific questions to the database. Instead this tool is programmed to look for and extract patterns, trends and rules. True data mining is currently used in the business community for market­ ing and predictive analysis (Stair & Reynolds, 2012). This analytical data mining is however not currently widespread in the health care community.

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.

Data mining uses computer-based technology to evaluate data in a database and identify different trends. Effective data mining helps researchers predict economic trends and pinpoint sales prospects. Data mining is stored in data warehouses, which are sophisticated customer databases that allow managers to combine data from several different organization functions.

Data mining is a class of database applications that looks for hidden patterns in a group of data that can be

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]

Today cyber-attacks are a occurring at an alarmingly high rate. It is not just governments and major corporation’s websites that are under attack; cyber criminals are using the Internet as an instrument to execute crimes against law enforcement agencies, members of congress, and small businesses as well as conducting terrorism, and even waging war. Cyber-attacks can come anywhere, anytime, anyplace from anybody. Cyber criminals are constantly testing computer defense systems for weaknesses in order to gain access to information in which they can use to their advantage. The following paper characterizes three types of cyber criminal activity, real world examples, ways organizations can protect themselves and why the need for law enforcement and e-business professionals involvement.

Today with the ever growing use of computers in the world, information is constantly moving from one place to another. What is this information, who is it about, and who is using it will be discussed in the following paper. The collecting, interpreting, and determination of use of this information has come to be known as data mining. This term known as data mining has been around only for a short time but the actual collection of data has been happening for centuries. The following paragraph will give a brief description of this history of data collection.

Data mining: is a process of discovering patterns in large data involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems with the aim of extracting information and transforming it into an understandable structure for further use.

Coenen at the University of Liverpool defines data mining “as a set of mechanisms and techniques, realized in software, to extract hidden information from data" [1]. Data mining ventures to make it easier for humans to make decisions by making data easier to manage and patterns easier to find. With more information, humans can make better business and financial decisions. The term was first written down in the 1980’s and has sense then become one of the fastest growing components of the computer science world. Data Architects make an average of $105,000 every year, entry-level positions starting at $75,000 a year, according to PayScale.com. These jobs and skills are in high demand and in large part there is still a lot to be explored in this area of research. And as technology proceeds to move forward, the amount of data grows, and more advanced tools are needed for it to be useful.

Data mining is when a financial analyst gathers consumer information and looks for patterns that a business can exploit. A simplified data mining example is when a restaurant manager knows the local yearly convention schedule based on experience. The manager can cross-reference that information with historical sales results to predict such things as forecasted profit or labor demand. With this information, the manager can estimate an advertising budget or hire temporary staff to handle anticipated work load. When medium to large-sized businesses use data mining, they uncovering these same information points; however, revenue gains can range from millions to billions of dollars. There are several techniques that firms frequently employ to find gold in information.

Companies and organizations all over the world are blasting on the scene with data mining and data warehousing trying to keep an extreme competitive leg up on the competition. Always trying to improve the competiveness and the improvement of the business process is a key factor in expanding and strategically maintaining a higher standard for the most cost effective means in any business in today’s market. Every day these facilities store large amounts of data to improve increased revenue, reduction of cost, customer behavior patterns, and the predictions of possible future trends; say for seasonal reasons. Data

Data mining is really just the next step in the process of analyzing data. Instead of getting queries on standard or user-specified relationships, data mining goes a step farther by finding meaningful relationships in data. Relationships that were thought to have not existed, or ones that give a more insightful view of the

Data mining is used in variety of fields and applications (Galit, Stiumueli, Natin & Peter 2010). This includes the military for purposes of intelligence,

Using the Internet today, there are numerous ways to stay connected to other people also using the Internet. You can use e mail, chat rooms, and the most popular, Instant Messaging. The risks of using e mail have always been evident. Receiving and downloading e mails and attachments from people you do not know always carried the risk of downloading and infecting your computer with one or several viruses that could possibly destroy your computers operating system.

Now, the Internet is not only used to find information, but also a social tool. People use it to communicate with friends and family, keep links and shop online at any time. The use of the Internet is always related to personal data, discovery and abuse triggers. These are the reasons people have the law to protect themselves. And this also gave birth to the protection of network security awareness, people's consciousness is gradually strengthened.