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Home » Book: Introduction to Data Mining, in case needed Authors: Pang-Ning Tan, Michae

Book: Introduction to Data Mining, in case needed Authors: Pang-Ning Tan, Michae

    Book: Introduction to Data Mining, in case needed
    Authors: Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar
    Publisher: Addison-Wesley
    Select one key concept that we’ve learned in the course (From Chapter 1 to 5 & Not entire curriculum) to date and answer the following, few to highlight are:
    Data and Classification – data algorithms
    Classification and Alternative Techniques – attribute, discrete and continuous data, concepts of data classification, decision tree and decision tree modifier, hyper-parameter,  pitfalls of model selection and evaluation, various types of classifiers
    Association Analysis –  association rule in data mining
    Questions to elaborate are as below:
    – Define the concept.
    – Note its importance to data science.
    – Discuss corresponding concepts that are of importance to the selected concept.
    – Note a project where this concept would be used.
    Looking for 4+ pages (Excluding title, intro or reference pages) of contents in response and minimum 3 APA references.

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