Data mining tools extract insights from data, allowing individuals and businesses to make decisions. Common uses include marketing, fraud protection, and surveillance. Standards and ethical implications are established by SIGKDD. KDD is the most widely used tool, while pattern mining and subject-based data mining are used to fight terrorism and in general business practice.
Data mining tools are software components and theories that allow users to extract insights from data. The tools provide individuals and businesses with the ability to collect large amounts of data and use it to make decisions about a particular user or groups of users. Some of the more common uses of data mining tools are in the fields of marketing, fraud protection, and surveillance.
Manual data mining has been around for hundreds of years. However, the automation of data mining has been prevalent since the dawn of the computer age. During the 20th century, various computer sciences emerged to help support the concept of developing data mining tools. The overall goal of using the tools is to uncover hidden patterns. For example, if a marketing firm discovers that a person takes a monthly trip from New York to Los Angeles, it becomes advantageous for that firm to publicize the details of the destination to the individual.
Within the data mining industry, standards have been established to define the parameters for using data mining tools. Each year, the Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) holds a meeting to determine which processes are used. The same group is also tasked with assessing the ethical implications of analyzing data from individuals and companies. A biannual magazine is published by the group entitled SIGKDD Explorations.
The most widely used tool in data mining is the process called Knowledge Discovery in Databases (KDD). KDD was developed in 1989 by Gregory Piatetsky-Shapiro. By using this data mining tool, users are able to process raw data, extract data to obtain information and interpret the various results in the form of information management.
One of the most important forms of data mining tools is used to fight terrorism in the 21st century. In the United States, the National Research Council uses the concepts of pattern mining and subject data mining to identify terrorist activity in the large pool of information around the world. Pattern mining is defined by the process of finding patterns within a large volume of data. Subject-based data mining attempts to identify relationships between individuals. Both techniques can also be used in general business practice by defining the mindset of a customer base and the interactive relationship between customers.
Protect your devices with Threat Protection by NordVPN
