What are Data Mining Techniques
...t claims -Most companies today have large data warehouses of information and today’s data mining techniques can be implemented rapidly on current software and hardware platforms. Ex. Meta Group -Leading provider of IT research, Advisory services, Strategic Consulting -Report states that Business process vendors are collaborating with data mining vendors to embed data mining techniques into business applications -Enables predictions and recommendations within the GUI of the application. -Focuses on the less technical business user. Non-specialized users can receive direct value from the data mining process. -The key to data mining is trusting and then understanding the data being presented. -One key to trusting the information is being able to visualize the data -The key to understanding comes through interaction with the data. If the future data mining software developers will have to increase interactibility with the data -Data Mining Techniques are more valuable when used with large databases. Larger in 2 aspects: -Dimensionality -Hands on analyses limits variables because of time constraints. -More dimensions equals a better chance to find unknown patterns -Larger Samples -Yield lower estimation errors and variance -Why is this possible? -Because of technological advances in: -Data storage sizes -Multiprocessor computers -New data mining algorithms -Most Commonly used methods -http://www.kdnuggets.com/polls/2003/data_mining_techniqu...