2. Data Mining Technology Extracting knowledge hidden in large volumes of raw data It's finding the proverbial needle in the haystack. The needle is that single piece of intelligence your business needs and the haystack is the large data warehouse you've built up over a long period of time.
5. Origin of Data Mining Draws ideas from machine learning, artificial intelligence, pattern recognition, statistics, and database systems. Traditional techniques may be unsuitable due to volume of data, high dimensionality of data, heterogeneous distributed nature of data.
6. Why Data Mining Now Much of the data is never analyzed at all Human analysts may take too long to discover useful information There is often information “hidden” in the data that is not readily evident
7. Why Mine Commercial Data Lots of data is being collected and warehoused –Web data -Yahoo! collects ∼10GB/hour –Purchase Data ∼20M sales/day –Credit Card Activity -Fraud, Security Competitive Pressure is Strong –Provide better services –Customized services –Proactive services
8. Why Mine Scientific Data? Data collected and stored at enormous speeds (GB/hour) –Remote satellite sensors archives over 1PB Earth Science data per year –Telescopes scanning /Sky survey data –Gene expression data experimentation –Scientific simulations generate Tbs of data in a few hours Traditional techniques infeasible for raw data –Data mining automates analysis of massive data sets and in hypothesis formation
9. Why Mine Educational Data Nowadays, as in all fields of society, information and communication technologies had bursted in education system - to capture and compile all kind of information in a very easy way and low cost, such as administrative data of schools, high schools or universities registers, computerized students academic records, e-learning platforms activity record, computer-supported collaborative learning systems, etc. -with the purpose of obtaining a better comprehension of students learning process and their global participation on it, directed to an improvement in quality and cost-effectiveness of the education system
