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    Data Mining

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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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    Database To find this article‚ I did a general search in the Walden Library for the terms Methadone‚ counseling‚ and qualitative. For the word Methadone‚ I indicated that term as a “subject term”; for the term counseling‚ I indicated that term an “all text” term. I simply added qualitative as a searchable term. I limited results to full text‚ peer reviewed scholarly journals published between March‚ 2012 and March‚ 2017. The resulting article was found in Education Source Database. Purpose of the

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    Data Mining

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    Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not

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    significantly feasible. Background of the Study Transit fare collection technology has evolved from the manual – based systems in used before 1970 to automated systems with computer – based hardware and software. These major advancements in fare collection have been made possible through advances in the design of fare media‚ the use of micro-processors and software in fare collection equipment‚ and the development of sophisticated control and data communications systems. A more-recent innovation has been

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    Case analysis-Harrington Collection Problem identification In 2008‚ Harrington Collection‚ a large manufacturer and retailer of U.S. high-end women’s apparel‚ was facing opportunities and challenges whether to launch of active-wear products to meet the market and customers’ needs. But according to the macroeconomic environment‚ the target market‚ competitors and its own financial condition‚ Harrington needed to take careful consideration and then make the best decision for their own

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    1. Environmental pollution is a serious issue and it is important to take steps on an individual level to reduce it. But now‚ since it is becoming an international issue‚ it is time to take environmental protection to a higher level. To what extent do you agree or disagree? 2. Theoretical subjects like mathematics‚ philosophy and economics should be removed from the university education‚ whereas most of the students are interested in taking practical subjects such as computer programming‚ engineering

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    remained on the viewing screen. It was paused and coded when a gender role scene was portrayed. Moreover‚ the movie was either played back or fast forwarded with routine breaks to prevent missing important data. During some repeated viewing however‚ the researcher matches the variables to the measures and coded on a coding sheet‚ print screen the movie‚ and analyze on it based on the unit of analysis and coding categories. Each time a new characteristic was exhibited or there was a change to a new

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    Jackson2 1 Family and Community Health Research Group‚ School of Nursing and Midwifery‚ University of Western Sydney‚ and 2Faculty of Nursing‚ Midwifery and Health‚ University of Technology‚ Sydney‚ New South Wales‚ Australia ABSTRACT: In this qualitative study‚ the experiences of a small cohort of registered nurses (RN) during the first 2 years of mental health employment were documented. A total of 13 semistructured interviews were completed from within a specialist mental health setting. Eleven

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    Data processing

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    2 Areas of data processing 1. Business Data processing (BDP) . Business data processing is characterized by the need to establish‚ retain‚ and process files of data for producing useful information. Generally‚ it involves a large volume of input data‚ limited arithmetical operations‚ and a relatively large volume of output. For example‚ a large retail store must maintain a record for each customer who purchases on account‚ update the balance owned on each account‚ and a periodically present a

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    COMPARING QUANTITATIVE AND QUALITATIVE RESEARCH Social theory is a “system of interconnected ideas that condenses and organises the knowledge about the social world and explains how it works” (Neuman‚ 2006‚ p.8) and for many years scientists have gathered data using specialised techniques such as Quantative and Qualitative research to support or reject these theories. Quantitative research “generates numerical data or information that can be converted into numbers‚” (Experiment Resources‚ 2009‚

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