Data Mining 6/3/12 CIS 500 Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information. This information can be used to increase revenue, cut costs or both. Data mining software is a major analytical tool used for analyzing data. It allows the user to analyze data from many different angles, categorize the data and summarizing the relationships. In a nut shell data mining is used mostly for the process of finding correlations
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Define data mining. Why are there many different names and definitions for data mining? Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the process
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Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology, if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
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Data Mining Prepared by: Kirsten Sullivan Strayer University CIS 500 Dr. Baab September 9, 2012 Data mining is a concept that companies use to gain new customers or clients in an effort to make their business and profits grow. The ability to use data mining can result in the accrual of new customers by taking the new information and advertising to customers who are either not currently utilizing the business's product or also in winning additional customers that may
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Data Mining Introduction to Management Information System 04-73-213 Section 5 Professor Mao March 22, 2011 Group 5: Carol DeBruyn, Jason Rekker, Matt Smith, Mike St. Denis Odette School of Business – The University of Windsor Table of Contents Table of Contents ……………………………………………………………...…….………….. ii Introduction ……………………………………………………………………………………… 1 Data Mining ……………………………………………………………………...……………… 1 Text Mining ……………………………………………………………………...……………… 4 Conclusion ………………………...……………………………………………………………
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[pic] Data Mining Assignment 4 [pic] “Data mining software is one of a number of analytical tools for analyzing data (Data Mining, para. 1).” We will be learning about the competitive advantage, reliability of such tool, and privacy concerns towards consumers. Data mining tool is used by majority of companies to increase revenue, and build on the relationship with current consumers. Let’s explore the world of data mining technology in the following selection. “Data mining is primarily used
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Data Mining 1. Do you feel that data mining infringes on your privacy or is data mining a natural part of living in a technologically enabled, connected environment? You may include personal or professional examples or opinions here. I feel that data mining infringes on everyone’s privacy, but in most aspects that I am aware of it is a natural part of living in a technologically enabled, connected environment. For the most part, I feel people are more likely to use a social device if it is the
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Data Mining By: Holly Gildea CIS 500 Dr. Janet Durgin June 09, 2013 Data Mining We learn that data mining is a method of evaluating data from different viewpoints and summarizing it into useful information. Such information can be beneficial and used to increase things like revenue, and cutting costs, and so on. There are four categories that we will look at and determine the benefits for in regards to data mining: predictive analytics to understand the behavior of customers, associations
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Data Mining Sherri White Dr. Edwin Otto CIS 500 Information System Decision Making September 2, 2012 Determine the benefits of data mining to the businesses when employing: 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model which has, in turn, been trained over your
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A data warehouse is a subject-oriented, integrated, time-variant, nonupdateable collection of data used to support management decision-making and business intelligence (Hoffer, 2011). Business Intelligence (BI) is a term that describes a comprehensive, cohesive, and integrated set of tools and processes used to capture, collect, integrate, store and analyze data with the purpose of generating and presenting information to support decision making (Coronel, Morris, & Rob, 2013). Data Warehouse
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