Data mining is a combination of database and artificial intelligence technologies. Although the AI field has taken a major dive in the last decade; this new emerging field has shown that AI can add major contributions to existing fields in computer science. In fact, many experts believe that data mining is the third hottest field in the industry behind the Internet, and data warehousing.
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. For example, a computer-generated graph may not give the user any insight, however data mining can find trends in the same data that shows the user more precisely what is going on. Using trends that the end-user would have never thought to query the computer about. Without adding any more data, data mining gives a huge increase in the value added by the database. It allows both technical and non-technical users get better answers, allowing them to make a much more informed decision, saving their companies millions of dollars.
"Data mining is the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques" (SPSS). However, really data mining turns databases into knowledge bases which is one of the fundamental components of expert systems. Instead of the computer just blindly pulling data from a database, the compu...
... middle of paper ...
... database, the individual lengths of the hay represent your data fields, and the needles represent data fields with a relationship worth more to you than all the hay put together" (Newquist).
Mega Computer. "Reasons for the growing popularity of data mining." Online. Internet. 3 Oct. 1997 Available: http://www.megaputer.ru/dmreason.html.
Lindsay, Clark. "Data Mining." Online. Internet. 3 Oct. 1997 Available: http://msia02.msi.se/~lindsay/datamine.html
Newquist, H.P. "Data mining: The AI metamorphosis." Online. Internet. 3 Oct. 1997 Available: http://www.dbpd.com/newquist.html.
Pilot Software. "An Introduction to Data Mining." Online. Internet. 3 Oct. 1997 Available: http://www.pilotsw/dmpaper/dmindex.htm.
SSPS. "SSPS' Approach: Open Comprehensive Data Mining." Online. Internet. 3 Oct. 1997 Available: http://www.spss.com/datamine/ocdm.html
Need Writing Help?
Get feedback on grammar, clarity, concision and logic instantly.Check your paper »
- Data mining software Data mining has the potential to give businesses a competitive edge in Customer Relationship Management. Organizations use methods such as complex algorithms, artificial intelligence, and statistics to mine meaningful patterns from large sets of data. These patterns can then be utilized to do a number of things including targeting customers by predicting future behavior and learning more about present behavior. One widely accepted model is the Cross-Industry Standard Process for Data Mining (CRISP-DM) which has six phases: business understanding, data understanding, data preparation, model building, testing and evaluation, and deployment.... [tags: Data mining, Customer relationship management]
839 words (2.4 pages)
- Every day, almost every moment, we are making decisions. The decision-making process is extremely important in our life. Since as long as you made a decision, we will contribute most of our capital, time, focus and energy on the direction you selected. We believe that better decision can make life better. Different decision results come from, sometimes, different knowledge set or preferences people have. Before doing this project, we have reached a consensus that knowledge is power. And data mining can give us better knowledge to make better decision.... [tags: Data Mining Project]
2509 words (7.2 pages)
- I. INTRODUCTION The concept of Sustainability Development started in the 80’s era and different meaning and definition were introduced. One among them most frequently quoted definition is from the Brundtland Report: "Sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs. It contains two key concepts within it: First, the concept of needs, in particular the essential needs of the world's poor, to which overriding priority should be given; and Second, the idea of limitations imposed by the state of technology and social organization on the environment's ability to meet present and future n... [tags: data mining, sustainability development]
2597 words (7.4 pages)
- Data Mining Benefits and Drawbacks Introduction In a world where computers are becoming as essential to daily life as the cars we drive or the telephones we use to communicate, it is difficult to find a person who doesn’t have some particular use for computers. Computers have become the information stores of the world. If you take a moment to think about all the kinds of information a person can and does hold on their computer it is staggering. I myself have all the passwords to my email and bank accounts, the history of every web page I’ve visited in the last 3 weeks, my credit card numbers, the complete history of all my banking transactions for the last three years stored on my comput... [tags: Internet Data Mining Businesses Essays]
2696 words (7.7 pages)
- A Review of the Literature of Apply Data Mining Technology for Customer Relationship Management and Customer Privacy in Banking Introduction The concept of customer relationship management (CRM) was developed in the mid- 1990s, when the information technology was being used to ‘track multiple activities of customers’ (Chieko Minamia, 2008). After many years, the CRM is considered the ‘underlying tool’ for business, because mining the customer value is the key to success for each company. CRM was defined as ‘helping organizations to better discriminate and more effectively allocate resources to the most profitable group of customers through the cycle of customer identification, customer att... [tags: Data mining, Customer relationship management]
1744 words (5 pages)
- Data Mining and Privacy-an ethical look I. Introduction In 2001, the MIT Technology Review listed data mining as one of the top 10 technologies that will change the world.[i] So, what is data mining. For many people, the simple answer is that data mining is the collecting of people’s information when logged onto the Internet. But Webopedia emphasizes that data mining is not the collection of data itself, but the statistical interpretation of it – allowing people to obtain new information or find hidden patterns within that collected data.[ii] It is the combination of these, collection and analysis, which are cause for concern.... [tags: Data Mining Technology Technological Essays]
3249 words (9.3 pages)
- Abstract With time, direct marketing has become increasingly popular in academics and the corporate sector. This is mainly due to the increasingly competitive marketing where most if not all companies are willing to take any profitable measure in terms of marketing, the advancement of technology and the changes in the general customer behavior that has, to date, been hard to predict. With many studies being conducted to explore the dimensions of direct marketing, the topic is yet not fully understood.... [tags: Marketing, Sales, Data mining, Customer service]
734 words (2.1 pages)
- Data Mining Abstract Data mining is a combination of database and artificial intelligence technologies. Although the AI field has taken a major dive in the last decade; this new emerging field has shown that AI can add major contributions to existing fields in computer science. In fact, many experts believe that data mining is the third hottest field in the industry behind the Internet, and data warehousing. 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.... [tags: Technology Database Computer]
1503 words (4.3 pages)
- Data Mining 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.... [tags: Hackers Computers Technology Essays]
4464 words (12.8 pages)
- An Introduction to Data Mining Overview Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems.... [tags: Database Technology]
1986 words (5.7 pages)