Data mining is the process to discover interesting knowledge from large amounts of data [han and kamber, 2000] it is an interdisciplinary eld with contributions from many areas, such as.
Case studies in data mining was originally taught as three separate online data mining courses we examine three case studies which together present a broad-based tour of the basic and extended tasks of data mining in three different domains: (1) predicting algae blooms (2) detecting fraudulent sales transactions and (3) predicting stock market returns.
Definition of data mining and discussion of how and when data mining can be used as a problem solving technique 4 description of the range of analytical tools used online or in other forms to extract meaning from the data.
3 definition of data mining and discussion of how and when data mining can be used as a problem solving technique 4 description of the range of analytical tools used online or in other forms to extract meaning from the data 5 explanation of the role of data mining and warehousing in an organization’s overall information technology strategy 6. Case study: jaeger uses data mining to reduce losses from crime and waste leg of lamb is the most stolen item at iceland thieves also like cheese, bacon and coffee. Kitts, b (2013), the making of a large-scale ad server, in data mining case studies workshop and practice prize 5, proceedings of the ieee thirteenth international conference on data mining workshops (icdmw 2013), december, dallas, tx, ieee press.
By use of data mining, i am able to counter the problem of fraud as this is one of my motivations as yet at the same time making the world a better place by bringing in a solution to solve the problems at hand case study: jaeger uses data mining to reduce losses mountaintop removal mining case study qmont mining arctic mining case. In jaegers case, the difficulty with implementing its data mining application did not come from the management it came from the complexity of setting up data feeds between jaegers existing store applications and its new centralized system the company decided to buy a data mining application in the summer of 2007.
We can use observation, counting, use of questioners, interviews etc whichever way you use randomness is required for the data to yield accurate/better results for any research work data mining can be translated to useful knowledge about historical patterns and future trends.