ID: 213188362 UNIT CODE: SIT717 ASSIGNMENT/PRAC No.: 2 ASSIGNMENT/PRAC NAME: Assignment 2 DUE DATE: 6th Oct‚ 2013 Plagiarism and collusion Plagiarism occurs when a student passes off as the student’s own work‚ or copies without acknowledgment as to its authorship‚ the work of any other person. Collusion occurs when a student obtains the agreement of another person for a fraudulent purpose with the intent of obtaining an advantage in submitting an assignment or other work Declaration
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The data protection principles There are eight data protection principles that are central to the Act. The Company and all its employees must comply with these principles at all times in its information-handling practices. In brief‚ the principles say that personal data must be: 1. Processed fairly and lawfully and must not be processed unless certain conditions are met in relation to personal data and additional conditions are met in relation to sensitive personal data. The conditions are
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information and real-time feedback for critical parts of the service‚ support‚ training and professional services business processes. I’m not pumping products here-I’m pointing to business processes that need to evolve to improve profitability. Here are five ways social CRM can help. 1. You Can’t Make Support Access Too Easy. Making it easier for customers to find the specific support resource they need is half the battle of making support feel easy to use. Customers are easily overwhelmed by large companies’
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Data Analysis The first question of the set of 15 questions was about the age limit of the respondents. We collected all data from the age group starting from 15years. Most of the respondents fall into the age limit of 16-25 years which is 54% of the total respondents. 18of the 50 respondents were 26-35 years of age which is 36%. [pic] [pic] Q1: your most preferable Schemes when you are Thinking about a savings account? This was the question that gives the critical information
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Ethics Case: Livent – When Maria…When? Summary Livent‚ a successful live entertainment company‚ known for performances of Phantom of the Opera‚ Ragtime‚ and Sunset Boulevard‚ was sold in 1998
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SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
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relationship. There are several factors and constraints for effective decision delegation. Some of the critical factors mentioned in the Martin Gannon book are the urgency of the decision or time factor‚ the capability of the subordinate or knowledge advantage‚ and whether this participation will help with the acceptance of the leader’s program. The other factors are the importance and complexity of the decision‚ the size and structure of the organization‚ and also the type of the organizational culture
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Handling Consumer Data Introduction When I visit my local Caltex Woolworths petrol station on “cheap fuel Wednesday” to cash in the 8c per litre credit that my Wife earned the previous Friday buying the groceries with our “Everyday Rewards” card‚ I did not‚ until researching this report‚ have any clue as to the contribution I was making to a database of frightening proportions and possibilities… nor that‚ when I also “decide” to pick up the on-sale‚ strategically-placed 600mL choc-milk‚ I am
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EE2410: Data Structures Cheng-Wen Wu Spring 2000 cww@ee.nthu.edu.tw http://larc.ee.nthu.edu.tw/˜cww/n/241 Class Hours: W5W6R6 (Rm 208‚ EECS Bldg) Requirements The prerequites for the course are EE 2310 & EE 2320‚ i.e.‚ Computer Programming (I) & (II). I assume that you have been familiar with the C programming language. Knowing at least one of C++ and Java is recommended. Course Contents 1. Introduction to algorithms [W.5‚S.2] 2. Recursion [W.7‚S.14] 3. Elementary data structures: stacks‚ queues
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Services E20-007 Data Science and Big Data Analytics Exam Exam Description Overview This exam focuses on the practice of data analytics‚ the role of the Data Scientist‚ the main phases of the Data Analytics Lifecycle‚ analyzing and exploring data with R‚ statistics for model building and evaluation‚ the theory and methods of advanced analytics and statistical modeling‚ the technology and tools that can be used for advanced analytics‚ operationalizing an analytics project‚ and data visualization techniques
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