1. FOREWARD Authors as Adams‚ Khan‚ Hafiz and Raeside (1)‚ suggest some method for data collection‚ basing on the situation‚ warning from possible threats to the validity and reliability of data collected. Whatever the method of data collection chosen (observations‚ experimentation‚ survey‚ interviews‚ diary method‚ case study‚ data storage‚ triangulation)‚ there are several hypothesis that need to be considered since the beginning (1); the challenges born from the nature of the research and level
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the success that are totally beyond the control of the learner. These factors can be categorized as: 1. Age: second language acquisition is influenced by the age of the learner. Many studies have found that adolescents learn more rapidly than children and adults. This explains that the age of the learner does not affect the route (way) to second language acquisition; instead it affects the rate (degree of speed) of learning. Another impact of the age is the development of cognitive abilities
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From this it can be said that most of the respondents chosen by using the random sampling method where youths with the age group of eighteen through twenty years of age. The first on the questionnaire asked the respondents what level of education they have obtained. A vast number of the participants attained a secondary education forty five percent‚ following by a primary education thirty five percent and the minority attaining a tertiary education twenty percent. From the information mentioned above
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Excellence for Data Mining in Egypt By: Aref Rashad I- Introduction The convergence of computer resources connected via a global network has created an information tool of unprecedented power‚ a tool in its infancy. The global network is awash with data‚ uncoordinated‚ unexplored‚ but potentially containing information and knowledge of immense economic and technical significance. It is the role of data mining technologies arising from many discipline areas to convert that data into information
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BIG DATA AND THE FUTURE OF THE HOURLY WORKFORCE Companies are pouring tens of billions of dollars into Big Data to find patterns they can use to predict the future. How Big Data is Changing the way Operating Executives Manage their Hourly Workforce T Does Big Data Matter? hose who wonder whether Big Data is really as big of a deal as the press is making it out to be should take note of Target. To better understand how to market new products to their customers‚ analysts at the retailer
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KNOWLEDGE MANAGEMENT 8 ANATOMY OF A FAILED KNOWLEDGE MANAGEMENT INITIATIVE: LESSONS FROM PHARMACORP’S EXPERIENCES 8 BENEFITS OF KNOWLEDGE MANAGEMENT 9 DATA MINING 10 FACTORS INFLUENCING THE GROWING INTEREST IN DATA MINING 10 LIMITATIONS OF DATA MINING 11 HOW DATA MINING WORKS 12 DATA MINING TECHNIQUES 13 ADVANTAGES OF DATA MINING 14 DATA MINING ISSUES 14 CONCLUSION 15 REFERENCES 15 SECTION 1 Introduction We are in the information age and as the demand for information and knowledge
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Data Collection Data is a collection of facts that can be measured or translated. Data may consist of words‚ numbers‚ observations‚ descriptions of things‚ and measurements. Data may be qualitative or quantitative. “Qualitative data is descriptive information that describes something. Quantitative data is continuous measurements of numerical information” (Lind‚ Marchal‚ & Wathen‚ 2011‚ p. 9). Data can be collected in many ways but the simplest way is direct observation. Understanding data analysis
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Lecture 1 1.1 INTRODUCTION Data structure is the branch of computer science that unleashes the knowledge of how the data should be organized‚ how the flow of data should be controlled and how a data structure should be designed and implemented to reduce the complexity and increase the efficiency of the algorithm. The theory of structures not only introduces the data structures‚ but also helps to understand and use the concept of abstraction‚ analyze problems step by step and develop algorithms to
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1 Thomas H. Davenport‚ Paul Barth and Randy Bean How ‘Big Data’ Is Different Please note that gray areas reflect artwork that has been intentionally removed. The substantive content of the article appears as originally published. REPRINT NUMBER 54104 W I N N I N G W I T H D AT A : E S S AY How ‘Big Data’ Is Different These days‚ lots of people in business are talking about “big data.” But how do the potential insights from big data differ from what managers generate from traditional analytics
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Look at Data Mining in the Pharmaceutical Industry Topics Covered: 1) What is Data Mining and why is it used? 2) How is Data Mining used in the Pharmaceutical Industry? 3) Recent debate in the legality of Data Mining and the Pharmaceutical Industry Pharmaceutical companies are taking advantage of the growing use of technology in the healthcare arena by using data to enhance their marketing efforts and increase the quality of research and development. The process of data mining allows
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