2 Areas of data processing 1. Business Data processing (BDP) . Business data processing is characterized by the need to establish‚ retain‚ and process files of data for producing useful information. Generally‚ it involves a large volume of input data‚ limited arithmetical operations‚ and a relatively large volume of output. For example‚ a large retail store must maintain a record for each customer who purchases on account‚ update the balance owned on each account‚ and a periodically present a
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Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing
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c. ratio scale d. interval scale 2. Data obtained from a nominal scale a. must be alphabetic b. can be either numeric or nonnumeric c. must be numeric d. must rank order the data 3. In a post office‚ the mailboxes are numbered from 1 to 4‚500. These numbers represent a. qualitative data b. quantitative data c. either qualitative or quantitative data d. since the numbers are sequential‚ the data is quantitative 4. A tabular summary of a set of data showing the fraction of the total number
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business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies‚ used to extract useful meaning of enterprise data in order to help
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Crime Data Comparison Comparing similar crimes‚ in metropolitan area such as Phoenix and Dallas. The FBI Uniform Crime Report (UCR) data shows in 2009 Phoenix had 76 reported murders‚ and Dallas with 86. Dallas with a lower population number of 1‚290‚266 had higher murder rate‚ Phoenix with population of 1‚597‚397 reported in 2009. Reported murder rates dropped in both areas in 2010‚ Dallas with 73‚ and Phoenix with a reported 50. “National reports a decrease of 6.2 percent of violent crimes during
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Manage accounts through ongoing business reviews to identify customer needs. Qualifications 1. Excellent communication skills; ability to work with people of diverse backgrounds; understand the importance of listening before offering a solution. 2. Identify and pursue up selling and cross selling opportunities. 3. Resolve account specific and customer service issues. 2. Extensive experience using creativity to identify‚ establish and accounts. 3. Strong Ability to stay composed and diligent
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TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics
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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 be purchasing from the competitor. Generally‚ data are any “facts‚ numbers‚ or text that can be processed by a computer.” Today
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Technology Management MIS-620 August 2014 MIS620 – Final Project 2 Table of Contents: 1. Scope Definition ...................................................................................................................... 1 1.1 About Company ................................................................................................................... 1 1.2 Executive Summary ..................................................................................................
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Weibo Monthly Rate | | Increase in Follower | Engagement | Jan - Feb | 5.21% | 7.71% | Feb - Mar | 3.34% | 7.73% | | | | Renren Monthly Rate | | Increase in Follower | Engagement | Jan - Feb | 10.00% | 10.00% | Feb - Mar | 17.50% | 6.40% | | | | Chase Dream | | Increase in Visiting | Engagement | Jan 22 - Feb 4 | N/A | 3% | Feb 5 - Mar 23 | 166.42% | 1.64% | Jan 22 – Feb 4 ChaseDream: Engagement Rate: 33/1099 = 3% Weibo: Engagement: 13+4/356=4
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