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Data mining is the process of discovering correlations, patterns, trends or relationships by searching through a large amount of data stored in repositories, corporate databases, and data warehouses.

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It supplements the discussions in the other chapters with a discussion of the statistical concepts (statistical significance, p-values, false discovery rate, permutation testing, etc.) relevant to avoiding spurious results, and then illustrates these concepts in the context of data mining techniques.

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data mining thesis presentation powerpoint sample

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Create a 10- to 15-slide Microsoft PowerPoint presentation, including detailed speaker notes, that identifies the forms of data collected and used in your chosen system. Include at least one slide per form of data.

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APPLYING DATA MINING FOR JOB RECOMMENDATIONS BY EXPLORING JOB PREFERENCES Thesis submitted in partial fulfillment of the requirements for the award ... Sample matrix representation of mined rules against different job categories 36 Table 5.2 Sample jobs in the database 37

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objective', 'companies (that do or could pursue this data mining objective)', 'data mining algorithm/technique', 'sample output', and 'web address' as requested in the question. o Also, you should give specific answers.