Categorical data

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    Big Data & Predictive Analytics Assessment Student Name: Haryo Pamujo Tri Achtiaji Date: Nov 30, 2016 This assessment seeks your opinion about the information presented and the value of that information to you. Analytics Executive: Ralph Baker Date: 11/29/20156 Topic: Big Data & Predictive Analytics What did you learn? I learned how Big Data can provide very important benefits to the decision making in the real world. As we know, data volume and data traffic now are…

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    students to extract value from big data: Summary of a workshop. Washington, District of Columbia: National Academies Press. Retrieved from https://ezproxy.mtsu.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=941883&site=eds-live&scope=site This in-depth report describes and recommends training for students in the use of big data. The report primarily focuses on the need for training, principles for working with big data, and data science curricula. The authors…

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    Page 1: Worcester, MA, data recovery - http://www.itsolutionsworcester.com/data_recovery.html The thought of losing important data that is stored on your electronic devices can be quite scary. While you may have paper copies to back up your stored data, it can take an overwhelming about of time and energy to search through all those documents. That's where we come in. If you've suffered the loss of critical data, you may need the help of a professional data recovery specialist to help you…

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    They discussed the reliability, interviews were audio-taped and translated to researchers and data collection procedure was completed over 3-month from November 2009 to January 2010. Besides, picture was prepared for each item in order to help preschool children more easily understand the questionnaire items as well. For the validity, they use…

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    Personal Dietary Behavior

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    Human Subjects in University of Nevada, Las Vegas approved the exemption status of this study” (Tian, 2015). Tian chose an analytical approach that is appropriate for the research questions being investigated and the data to be analyzed. The principle channel applied to collect data was MTurk. “MTurk is an online marketplace that provides businesses and developers access to an on-demand, scalable workforce” (Tian, 2015). An advantage of utilizing this is its function to collect responses…

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    Unit 10 D2

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    mistake is reduced. Using the wrong data type is another potential error that can occur when creating a database this can be troublesome as if there is a relationship created between the tables and the mistake is found and changed then the database wouldn’t allow you to change the field where the data type is incorrect without removing the relationship first so it will be made into a long process of removing the relationship between the tables changing the data types for each of the table before…

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    Table of Contents Executive Summary 3 Facts about Alzheimer’s: 3 Usage of Data analytics in the healthcare sector 3 Internal Processes 4 1. Clinical Trials 4 2. Systems Biology 4 3. Simulation of processes: 4 4. Better disease prediction: 4 5. Risk and compliance management: 4 External Processes 4 1. Real-time health tracking 4 2. Electronic health records and Electronic medical records 4 3. Cross-selling applications 5 4. Credit services to medical practitioners 5 Internal Process – Clinical…

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    Outlier Detection

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    been dealing with a static large data set. By querying a specific object against the data set, we will always get the same outcome. Unless the data set is manipulated in one way or another. In this proposal, we approach the problem of mining outlying aspects from a different perspective. Instead of using a constant data set, we use a real-time environment for an ever-growing and expanding data set. Where we attempt to find the outlying aspects of a query, as data is constantly increasing and…

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    Predictive analysis is the process in the advanced analytics field which predicts the unknown scenarios in future. It uses lot of techniques like machine learning, data mining, probability and statistics, IT, data management etc. It brings down the results of previous input data searches and manages to understand the connections between the data thus identifying all the opportunities and risks of future which is unknown. It is a process of seven steps which helps an organization to be anticipate…

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    Data mining is an interdisciplinary field of the computer engineering which includes gathering, preparing, putting away and investigating information with a specific end goal to find (and concentrate) new data from it. There are various advantages of data mining, yet to comprehend them completely, we need to have some fundamental information of what information mining really is and what end goal we need to achieve by applying certain techniques on a data set. It is the computational procedure of…

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