Jack Adelman MBA 511 Report – Webcast 8/13/14 on Data Mining SAS (Statistical Analysis System) was originally developed as a project to analyze agriculture from 1966-1976 at North Carolina State University. As demand for such software grew, SAS Institute was founded in 1976. SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. SAS provides a graphical point-and-click user interface for non-technical users
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Jack Adelman MBA 511 Report – Webcast 8/13/14 on Data Mining SAS (Statistical Analysis System) was originally developed as a project to analyze agriculture from 1966-1976 at North Carolina State University. As demand for such software grew, SAS Institute was founded in 1976. SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. SAS provides a graphical point-and-click user interface for non-technical users
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massive amounts of data to gain a competitive edge over their competition. Utilizing data mining techniques, businesses are given the ability to analyze data from different points of view and turn it into useful information that can be used to increase revenue, cut costs, or both (Jason.Frand, n.d.). In today’s environment, competitive businesses use what is known as “Predictive Analytics” to perform mining and analysis of their data. In fact, predictive analytics is a form of data mining that if used
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Original Contributions Data Mining Applications in Healthcare Hian Chye Koh and Gerald Tan A B S T R A C T Data mining has been used intensively and extensively by many organizations. In healthcare, data mining is becoming increasingly popular, if not increasingly essential. Data mining applications can greatly benefit all parties involved in the healthcare industry. For example, data mining can help healthcare insurers detect fraud and abuse, healthcare organizations make customer relationship
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VIDEO DATA MINING Pooja Gupta Department of Computer Science Jaypee Institute of Information Technology, NOIDA, U.P. ABSTRACT In recent years, advanced digital capturing technology has made digital data grow rapidly. Knowledge discovery from massive amounts of multimedia data, so-called multimedia mining, has been the focus of attention over the past few years. Typically, a video can
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Data Mining: Concepts and Techniques (3rd ed.) Jiawei Han, Micheline Kamber, and Jian Pei University of Illinois at Urbana-Champaign & Simon Fraser University ©2011 Han, Kamber & Pei. All rights reserved. Adapted for CSE 347-447, Lecture 1b, Spring 2015 1 1 Introduction n n n n n n n n n n Why Data Mining? What Is Data Mining? A Multi-Dimensional View of Data Mining What Kind of Data Can Be Mined? What Kinds of Patterns Can Be Mined? What Technologies Are Used?
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Data Mining I found the topic of data mining very interesting in that it uncovers coveted information needed for improving and refining our daily lives. Information regarding traffic patterns, flight arrivals, consumer purchases, education, is collected and analyzed to improve a particular model. The data mining process is designed to gather information from a targeted sample which will enable companies to refine their business model in order to become more profitable. This process is
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Technology change every time day after day and now is a great part of our daily life. This article is about how’s the data is organized, compress, put it in perspective and how effective could be once is organize and studied. It is a technology called data mining and used in commercial applications in different disciplines to search for significant relationship among variables in large data sets. But, in this particular article will be use to examine the result for university students entrance examination
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Data Mining: What is Data Mining? Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified
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Data Mining In today’s society there is more data and information that is being stored it is hard to sort through it all and pick out useful information. All of this information is being stored in data warehouses which are basically a huge database filled with information collected over many years. This is why data mining is so popular, it has the ability to search through these huge amounts of data and find useful information, or will be able to see patterns in the information that may have not
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