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

info Mining in a Nut ShellIn todays business organisation world, information about the customer is a necessity for a businesses laborious to maximize its profits. A new, and important, tool in gaining this knowledge is entropy Mining. Data Mining is a pose of automated procedures apply to find previously unknown patterns and relationships in information. These patterns and relationships, once extracted, can be used to get under ones skin 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 conquer fraud (3) to identify internal wastefulness and deal with that wastefulness in operations, and (4) to chart unexplored argonas of the internet (Cavoukian). The fulfillment of these tasks can be raise if appropriate selective information has been collected and if that data is stored in a data warehouse. According to Stanford University, A Data W arehouse is a repository of structured information, avail subject 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 primarily came from different sources. When data about an organizations practices is easier to access, it becomes more stinting to mine. Without the pool of validated and scrubbed data that a data warehouse provides, the data mining process requires considerable additional effort to pre-process the data (SAS nominate).There are several different types of representatives and algorithms used to mine the data. These include, just now are not limited to, neural networks, decision shoetrees, rule induction, boosting, and catching algorithms. Neural networks are physical cellular systems which can acquire, store, and utilize existential knowledge (Zurada). Neural networks offer a way to efficiently model large and comple x problems. Decision trees are diagrams used for making 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 deriving 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 system of 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 apply high performance parallel SQL technologyA Windows PC client being able to intelligently query the data source on the host emcee can achieve knowledge Inducti on. The speed of the process is therefore pendant upon the server - not the speed of the client PC. This allows data mining to bug the speed offered by MPP servers (Massive Parallel 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. Introduction to Data Mining and intimacy Discovery. 1999Zurada, J.M. (1992), Introduction To Artificial Neural Systems, Boston PWS Publishing Company, p. xv