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    data mining

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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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    Data Mining

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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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    Secondary Data

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    Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such

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    CHAPTER 7 Revenue and Collection Cycle LEARNING OBJECTIVES Review Checkpoints Exercises‚ Problems‚ and Simulations 1. Discuss inherent risks related to the revenue and collection cycle with a focus on improper revenue recognition. 1‚ 2‚ 3 59 2. Describe the revenue and collection cycle‚ including typical source documents and controls. 4‚ 5‚ 6‚ 7‚ 8 54‚ 55‚ 61‚ 63‚ 64‚ 66 3. Give examples of tests of controls over customer credit approval‚ delivery‚ and

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    Chantall Bernuil Alex Tavares ENC1102-32007 11/04/12 Willy Loman’s Obsession to Accomplish a False Dream Accomplishing a dream or a goal is one of the most important achievements in anybody’s life. In Arthur Miller’s story‚ Death of a Salesman‚ becoming a successful (well liked and wealthy) salesman‚ seems to be the one and only dream that defined the purpose of Willy Loman’s life. In order to accomplish his lifetime dream‚ Willy should have taken certain aspects into consideration‚ he should

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    1. How does Turner’s description of the three classes of data (p. 274) compare to Harris’ understanding of emic and etic perspective? In what ways does the etic and emic approach Turner uses help to analyze symbols? 2. Turner consistently addresses the symbolic nature of relationships during rituals between members of the Ndembu community. To what degree is agency given to the individual‚ especially when participating in these communal rituals? 3. On page 287‚ turner says‚ “treat ritual symbols

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    Secondary data

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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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    Data Managament

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    you an understanding of how data resources are managed in information systems by analyzing the managerial implications of basic concept and applications of database management. Introduce the concept of data resource management and stresses the advantages of the database management approach. It also stresses the role of database management system software and the database administration function. Finally‚ it outlines several major managerial considerations of data resource management.

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    DATA CLUSTERING

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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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    my eassy collection

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    imagine the world without electricity? Of course not. Inventions are made with the thought of improving men’s life not with the thought of destroying the peace of the man. Science in its is nothing‚ created by humans‚ and is used by humans only in any way they want. So‚ why to criticize science if there is any wrong effect of it? Science not only bane but a boon to whom it is properly used. For scientist like Edison and Einstein it is a boon. Now-a-days due to wrong usage of science&

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