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    Data Comm

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    0 Problem Statement Althought there are many kind of web browser‚ but there are some type of web browser problem such as :- * Browsing speed is slow * Unrecognized web browser software may harm your computer * Crash plug-ins * Security risk * Page-load slower * Many bugs can be found at unrecognized web browser. * Cross platform issues * Easy to be attack by the malware Based on the problem that we can find‚ the conclusion is we have to use a web browser from a

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    Design and Security

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    Design and Security David L Story CMGT 555 July 20th‚ 2015 MANNIL KRISHNAKUMAR Design and Security The design of the user interface for a project along with the security of the interface can be taxing‚ but with a defined plan and documentation‚ the user interface can become a very useful tool. The project of making a user interface for leaving feedback that I mentioned in week 2‚ has been made and is undergoing testing to make sure it works and to add in some security before going live. While starting

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    Data Comm

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    DATA COMMUNICATION (Basics of data communication‚ OSI layers.) K.K.DHUPAR SDE (NP-II) ALTTC ALTTC/NP/KKD/Data Communication 1 Data Communications History • 1838: Samuel Morse & Alfred Veil Invent Morse Code Telegraph System • 1876: Alexander Graham Bell invented Telephone • 1910:Howard Krum developed Start/Stop Synchronisation ALTTC/NP/KKD/Data Communication 2 History of Computing • 1930: Development of ASCII Transmission Code • 1945: Allied Governments develop the First Large Computer

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    Big Data

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    Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of

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    Statistics and Data

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    Simply use statistics as a tool. You will be given a data. (Next year you will not be given data‚ you will gather data yoruself). 1. Data: one of the variables is dependent and other dependent. Can be multiple. Then do regression analysis. ANOVA for overall significance and Regression equation. And write based on ANOVA there is a significance or not. 2. Some comments on correlation: volume vs. horse power etc. 3. Hypothesis test of one population. I assume that the mean is etc etc. Small paragraph

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    Big Data

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    Networks Volvo utilized data mining in an effort to discover the unknown valuable relationships in the data collected and to assist in making early predictive information. It created a network of sensors and CPUs that were embedded throughout the cars and from which data was captured. Data was also captured from customer relationship systems (CRM)‚ dealership systems‚ product development and design systems and from the production floors in their factories. The terabytes of data collected was streamed

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    Comparing Data

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    Using the Standard Deviation You made a number of observations about the data sets for the school activities. You used mean and median to measure the center of the data‚ and you used the interquartile range (IQR) to measure the spread. When outliers are present‚ the median and IQR are used to measure center and spread because they are unaffected by extreme values. When the data appears to be symmetric and there are no known outliers‚ the mean and standard deviation (another measure of spread)

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    Data Warehousing

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    and Kimball’s definition of Data Warehousing. Bill Inmon advocates a top-down development approach that adapts traditional relational database tools to the development needs of an enterprise wide data warehouse. From this enterprise wide data store‚ individual departmental databases are developed to serve most decision support needs. Ralph Kimball‚ on the other hand‚ suggests a bottom-up approach that uses dimensional modeling‚ a data modeling approach unique to data warehousing. Rather than building

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    Big Data

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    Patrick Cunningham ITM220-J November 8‚ 2013 Big Data Big Data‚ an inspirational novel about the collection and processing of massive amounts of data was eye-opening and encouraging. This collection of data over a long period of time has been processed and used towards many different aspects throughout the world. Dilemmas such as tracking the H1N1 virus‚ to buying the most inexpensive plane tickets‚ all the way to predicting dangerous manholes explosions have all been processed and tabulated

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    Data Mining

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    is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make 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;

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