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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Censored data & Truncated data Censoring occurs when an observation or a measurement is outside the range and people don’ t know the certain value. The value is always above or below the range that people set. However‚ truncated data means that because of the limits‚ such as time‚ or space‚ people lose some data. Truncation is to cut off the data. In other words‚ we have collected and use the data‚ but the data is not in the range we have. It is called censored data. We don’t use the data because
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include brief description of background‚ purpose of the focus group‚ marketing research problem‚ and detailed focus group objectives (ie. What are the marketing research objectives for this piece of research?) 2.Method and Procedures: discuss how the focus group was implemented: the composition of the focus group; where‚ when and how the focus group was conducted 3.Summary of Findings: briefly outline the key findings of your focus group‚ reactions‚ perceptions‚ and add in one or two verbatim
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“Examine some of the problems associated with using Official Statistics as a research method” Official statistics are secondary data produced by national and local government bodies. They either provide qualitative or quantitative (sometimes both) information on all major areas of the population’s lives such as births‚ deaths‚ marriage and divorce. The Office for National Statistics collects the government’s statistics and they collect their data from surveys such as the Census. They also collect
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Data Documentation and Retrieval Using Unity in a UniVerse® Environment Your Name University of Iowa‚ Iowa City‚ Iowa E-mail Address Introduction Data storage‚ however well implemented‚ is worthless without the ability to retrieve that data. While the logical and physical connections may be available‚ if the data layout is not well documented‚ it may be near impossible to retrieve the data except through previously developed interface programs. These programs may be limited in their implementation
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there are two data types that are utilized to evaluate and draw meaningful conclusions through statistics‚ population and sample data. These two data types are utilized to formulate end conclusions of data that is to be collected and data that is to be reviewed. The description of population data can best be explained‚ as the complete collection of all data that is to be queried/collected and reviewed. Sample data‚ a subset of population data‚ is the partial collection and review of all data that is to
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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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particular topic was to focus on privacy-preserving clustering that protects the underlying attribute values of objects subjected to clustering analysis. In doing so‚ the privacy of individuals’ data would be protected. In this age of data mining‚ we felt that working on data privacy was of paramount importance. We worked in a group of 3 on this and my role specifically was to design and implement the ‘K-means’ algorithm that clusters the data and forms the basis for the data transformation. In addition
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Focus Group Reflection Paper December 23‚ 2013 Focus Group Reflection Paper Effective coaches or mentors may perceive themselves as responsible for growth and change with a mentee. Achieving the work and utilizing the expectations of characteristics and types of support will help the mentor or coach focus on the effectiveness of the mentee. This paper will include the types of support offered by an effective coach or mentor. Qualities and Beliefs Finding a good mentor that will match the
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H010: Adjustment of Emotional Score of English Boys and Hindi Girls 1 – Boys‚ 2 - Girls and 1 - English and 2 – Hindi Group Statistics | | Gender | N | Mean | Std. Deviation | Std. Error Mean | Emotional Score | Boys | 175 | 10.9829 | 3.97329 | .30035 | | Girls | 120 | 13.9750 | 5.18152 | .47301 | Independent Samples Test | | Levene’s Test for Equality of Variances | t-test for Equality of Means | | F | Sig. | t | df | Sig. (2-tailed) | Mean Difference | Std. Error Difference
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