and I started to cry because my parents were not there with me. I ventured myself and try to make friends. Lucky me‚ I got many friends and we were so happy enjoying our school life. Graduated from kindergarten as a bright student‚ I move on to my primary school‚ first day a bit nervous but I managed to control myself from crying. I started to make new friends at new school. I didn’t really concentrate on my studies because of influenced from my friends. My exam grade slowly began to fall down and
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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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Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this 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. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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You Can Do With Data/The Information Architecture of an Organization What is the difference between data and information? Give examples. Data = discrete‚ unorganized‚ raw facts Quantity Sold‚ Course Enrollment‚ Customer Name‚ Discount‚ Star Rating. Information = transformation of those facts into meaning. Financial data (deposits)‚ daily loans. What is a transaction? Action performed in a database management system What are the characteristics of an operational data store? Stores
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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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Programme Management Office Project Charter & Scope Statement Project Title: Project ID: Project Sponsor: Project Manager: Charter approval date: Project and Module Data Project Brian Norton‚ President Liam Duffy‚ IS Services Document Control Date 30-01-12 02-02-12 10-02-12 16-03-12 Version V 1.0 V 2.0 V 3.0 V 4.0 Changed by Liam Duffy Liam Duffy Liam Duffy Liam Duffy Reasons for Change Original Document Consultation with Sponsor Consultation with Project
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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CHAPTER 2 DATA COLLECTION AND PRESENTATION 2.1 Data Collection This section aims to: 1. Identify‚ compare and contrast the different types of data; 2. List and explain the various techniques of selecting a sample; and 3. Enumerate and illustrate the different sampling techniques Types of Data Data is a collection of facts‚ such as values or measurements. It can be numbers‚ words‚ measurements‚ observations or even just descriptions of things. Two types of Data Primary Data means original
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University CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task.
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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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