Introduction: Data breach has always been a sensitive topic‚ let alone when the data breach is related to banking. In the mean time‚ there’s a breach was found happened to the online banking system of the competitive bank of First Union Bank‚ and the hacker had stolen quantities of customers’ personal information and data. It has been an alarm for all the banks‚ it reminds the whole society to be alert of the damage caused by the data breach. The Chief Information Officer of the First Union Bank
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Enhancing Customer Data Enhanced Customer Data Repository is a secure and fully supported data repository with problem determination tools and functions. It updates problem management records (PMR) and maintains full data life cycle management. · combination of all the internal structured business data (CRM‚ ERP‚ POS and all the internal system data) and external unstructured data ( Social media data‚ feedback surveys‚ Audios‚ Videos‚ streaming data‚ Call center data‚ images) · unmanageable volumes
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LECTURE 1 DATA TYPES Our interactions (inputs and outputs) of a program are treated in many languages as a stream of bytes. These bytes represent data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data in various way such as adding them up or sorting them. This data comes in different forms. Examples include: your
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|Case Study: Data for Sale | |Management Information System | | | |
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doctor has charted Dexter’s mass and related it to his BMI (Body Mass Index). A BMI between 20 and 26 is considered healthy. The data is shown in the following table. Mass(kg)62 72 66 79 85 82 92 88 BMI 19 22 20 24 26 25 28 27 (a) Create a scatter plot for the data. (b) Describe any trends in the data. Explain. (c) Construct a median–median line for the data. Write a question that requires the median– median line to make a prediction. (d) Determine the equation of the median–median line
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BCSCCS 303 R03 DATA STRUCTURES (Common for CSE‚ IT and ICT) L T P CREDITS 3 1 0 4 UNIT - I (15 Periods) Pseudo code & Recursion: Introduction – Pseudo code – ADT – ADT model‚ implementations; Recursion – Designing recursive algorithms – Examples – GCD‚ factorial‚ fibonnaci‚ Prefix to Postfix conversion‚ Tower of Hanoi; General linear lists – operations‚ implementation‚ algorithms UNIT - II (15 Periods)
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Belbin’s Team Roles How understanding team roles can improve Practice performance When a Practice team is performing at its best‚ you’ll usually find that each team member has clear roles and responsibilities to which they are fully committed. Sometimes however‚ despite clear roles and responsibilities‚ a team can still fall short of its full potential. Dr Meredith Belbin studied team-work for many years‚ and observed that people in teams tend to assume different “team roles”. A “team role” is
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Stories From a Ming Collection is a book compiled by Fang Menglong and translated by Cyril Birch‚ of a collection of popular moral tales of oral tradition that were told by Chinese storytellers during the T’ang Dynasty in the Chinese marketplaces. The two tales that will be analyzed specifically come from The Lady who was a Beggar‚ both centering on important moral lessons involving the issues of love‚ lust‚ reputation and honor; issues that were very important of Chinese society during that time
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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information also must necessarily be the source of information relative to income. > The investigation also may seek to develop information about reputation of the credit applicant and to secure information adequate for evaluating the credit data reported by references. > Payment record‚ residence‚ marital status‚ age‚ reserve assets‚ equity in purchase and collateral must also be considered in investigating individual. After collecting necessary credit
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