Data Mining in a Nut Shell Essay example -- Essays Papers

data Mining in a Nut ShellIn todays business world, information close the customer is a necessity for a businesses trying to maximize its profits. A new, and important, tool in gaining this knowledge is Data Mining. Data Mining is a clothe of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships, once extracted, can be used to make valid predictions about the behavior of the customer.Data Mining is generally used for four main tasks (1) to improve the process of making new customers and retaining customers (2) to reduce fraud (3) to identify internal wastefulness and jalopy with that wastefulness in operations, and (4) to chart unexplored atomic number 18as of the internet (Cavoukian). The fulfillment of these tasks can be enhanced if appropriate data has been collected and if that data is stored in a data w atomic number 18house. According to Stanford University, A Data W arhouse is a repository of integr ated information, available for queries and analysis. Data and information are extracted from heterogeneous sources as they are generated....This makes it much easier and more efficient to run queries over data that originally came from different sources. When data about an organizations practices is easier to access, it becomes more economical to mine. Without the pussycat of validated and scrubbed data that a data warehouse provides, the data mining process requires considerable additional effort to pre-process the data (SAS Institute).There are several different types of models and algorithms used to mine the data. These include, but are not limited to, neural networks, decision trees, rule induction, boosting, and genetic algorithms. Neural networks are physical cellular systems which can acquire, store, and utilize experiential knowledge (Zurada). Neural networks offer a way to efficiently model large and complex problems. Decision trees are diagrams used for mak ing decisions in business or computer programming. Branches are used to represent choices with associated risks, costs, results, or probabilities. Rule induction is a way of filiation a set of rules to classify cases (Two Crows). These set of rules differ from those in a decision tree in that they are independent from one another. Boosting is a technique in which multiple random samples of data are taken and a... ...networks, fuzzy logic and genetic algorithms.http//www.partek.com/. MITWINROSAWINROSA is a software tool which generates automatically Fuzzy If-Then Rules from your data. The generated data set can be run by most of the existing fuzzy tools like e.g. DataEngine, fuzzyTECH, and Matlab.http//www.mitgmbh.de/Attar SoftwareXpertRuleData Mining using laid-back performance parallel SQL technologyA Windows PC client being able to intelligently query the data source on the host server can bring home the bacon knowledge Induction. The speed of the process is therefore d ependant upon the server - not the speed of the client PC. This allows data mining to exploit the speed offered by MPP servers (Massive replicate Processors) and database architectures that are optimized for serving queries.http//www.attar.com/Works CitedCavoukian, Ann, Ph.D. Data Mining Staking a Claim on Your Privacy. Jan. 1998Pryke, Andy. The Data Mine. 23 Sep. 1998SAS Institute Inc. Data Mining. 12 Jan. 2000Two Crows Co. entry to Data Mining and Knowledge Discovery. 1999Zurada, J.M. (1992), Introduction To Artificial Neural Systems, Boston PWS Publishing Company, p. xv