Data Mining

DATA MINING REPORT schooling Technology Julia Espinal Januanry 15, 2009 control panel OF CONTENTS Introduction.3 exposition of terms...3 Pros and Cons..5 suitableness of concept with our organization6 Examples and results of other companies.6 Recommended slaying methods.7 sum-up.8 Bibliography...9 INTRODUCTION entropy dig is a process of analyzing selective information from different perspectives and presenting it in a simple to understand visual manner. This is usually in a graphical way or in a tabular form. The need for info mining arises when difficult problems are encountered which have no obvious solutions. information mining software finds correlations or patterns among many fields in large infobases. Data mining software is used to pop off out large volumes of selective information which would be almost unsurmountable for a human being to process. It female genital organ be used to decide problems much(prenominal) as the optimization of a manufacturing process.

It substructure be used to detect fraudulent proceeding or assessing stake to give a few illustrations. translation of terms: Data: Are any facts, numbers or text that evoke be processed by a computer, entropy can be operational or transactional data such as, cut-rate sales, cost, inventory, payroll, and accounting. Non-operational data can be industry sales, call data and big economic data. Meta data which is data round the data itself, such as logical database design or data mental lexicon definitions. Informati! on The patterns, associations or relationships among all data can provide information. For example, compendium of retail point of sale transaction data can yield information on which products are selling and when. Knowledge Information can be converted into knowledge about historical patterns and future trends. For example information about dietary habits of a general...If you want to strike a full essay, order it on our website: BestEssayCheap.com

If you want to get a full essay, visit our page: cheap essay