Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) ........................... 3 1.2 Quantitative Data............................................................................................... 4 DESCRIPTIVE STATISTICS.................................................6 2.1 Sample Data versus Population Data ................................................................... 6 2.2 Parameters and Statistics
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Financial Services Data Management: Big Data Technology in Financial Services Big Data Technology in Financial Services Introduction: Big Data in Financial Services ....................................... 1 What is Driving Big Data Technology Adoption in Financial Services?3 Customer Insight ........................................................................... 3 Regulatory Environment ................................................................ 3 Explosive Data Growth ........
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WEEK-3 Data Abstraction Destructors • Destructors are functions without any type • The name of a destructor is the character ’~’ followed by class name – For example: ~clockType(); • A class can have only one destructor – The destructor has no parameters • Destructor automatically executes when the class object goes out of scope C++ Programming: Program Design Including Data Structures‚ Sixth Edition 2 Data Abstract‚ Classes‚ and Abstract Data Types • Abstraction – i
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common standard for digital mobile telephony which was Global System for Mobile Communications (GSM). In 1991 Nokia made agreements to supply GSM networks to nine European countries and by August 1997 Nokia had supplied GSM systems to 59 operators in 31 countries. During the 1980s‚ Nokia ’s operations rapidly expanded to new business sectors and
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Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.
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Turnage‚ Bonebright‚ Buhman‚ Flowers (1996) showed that untrained participants can listen to shapes. That is‚ they used data sonification – musical representation of two dimensional space‚ with pitch as the vertical dimension and time as the horizontal dimension – to present participants the visual and auditory representation of waveforms. In two conditions‚ they showed the participants could match one visual presentation to one of two auditory representations‚ or match one auditory presentation
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WORLD DATA CLUSTERING ADEWALE .O . MAKO DATA MINING INTRODUCTION: Data mining is the analysis step of knowledge discovery in databases or a field at the intersection of computer science and statistics. It is also the analysis of large observational datasets to find unsuspected relationships. This definition refers to observational data as opposed to experimental data. Data mining typically deals with data that has already been collected for some purpose or the other than the data mining
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MB0047 MANAGEMENT INFORMATION SYSTEM Assignment Set 1 Q.1 What is MIS? Define the characteristics of MIS? What are the basic functions of MIS? Give some Disadvantage of MIS? Ans.: A management information system (MIS) is a system that provides information needed to manage organizations effectively. Management information systems are regarded to be a subset of the overall internal controls procedures in a business‚ which cover the application of people‚ documents‚ technologies‚ and procedures used
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UNIVERSITI KUALA LUMPUR KAMPUS KOTA MALAYSIAN INSTITUTE OF INFORMATION TECHNOLOGY Name of Course | SUPPLY CHAIN MANAGEMENT | Course Code | ICB47203 | Lecturer | JAWAHIR BINTI CHE MUSTAPHA @ YUSUF | Semester / Year | JAN 2013 (1/2013) | Distribution Date | Week 3 (29.01.2013) | Assessment | Project | Weightage | All part = 35% | Course Outcome to achieve:CLO 2‚ 3 & 4 | Assessment Components : 1. Presentation – 10% submission: Week 13 2. Report – 25% submission: Week
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Running head: Customer Relationship Management Systems Customer Relationship Management Systems Author Note: This paper was prepared for Introduction to Information Systems‚ Fall 2013 Abstract Customers have become increasingly aggressive in their demands for superior quality‚ but also for quick to respond service. Customer relationship management is the response to this growing need. In this paper‚ we will learn about the different types of CRM systems‚ their capabilities
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