ACCA7015 Data Mining & Visualisation

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    ACCA7015 Assignment Help

    Data Mining & Visualisation Assignment help

    You are to analyse a database extract of at least 15000 records and 15 attributes and submit a report
    upon the data mining processes used during this analysis. You may use one of the datasets on the UCI
    Machine Learning Repository provided or find a suitable dataset elsewhere.
    Your submission should include:
    • A description of your chosen dataset, include attributes present in the data, the number of
    instances, missing values, and other relevant characteristics.
    • A discussion of the primary pre-processing of the chosen dataset in order to load it into
    WEKA, including any Further pre-processing required by the dataset in order to prepare for
    the pattern discovery stage
    • A description of the analyses performed on the data. This should be a directed discovery
    approach using classification, clustering and association analysis and should include
    examples of data selection, model creation and pattern discovery.
    • A discussion of any secondary pre-processing performed as the result of an analysis of the
    data in order to perform further analyses.
    • A discussion of any interesting patterns identified and how they would be reported back in
    an appropriate business or scientific context.
    • Reflection on the process and its results.
    The report should be no more than 4500 words long and should include such graphics as are
    appropriate to illustrate your answers.
    Marks will be awarded for:
    • A data set description (15%)
    • Primary and secondary data pre-processing (25%)
    • Data analysis (20%)
    • Identification and reporting of results (20%)
    • Reflection (10%)
    • Report writing (10%)

    By |2023-04-14T12:34:13+00:00April 14th, 2023|Categories: Management assignment help|Tags: |0 Comments

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