For this specific task only the following categories: Shopping Cart Analysis : Infer most strongly associated product pairs (i.e. products frequently bought together) based on the provided shopping...

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For this specific task only the following categories:




  • Shopping Cart Analysis: Infer most strongly associated product pairs (i.e. products frequently bought together) based on the provided shopping cart dataset.

  • Please analyze the association rules of the top 15th most frequently bought products using the same dataset as before. Both steps of the task are the same as your group has done (while the product is different for you now); please review the task description handout on MyCourses.



  • In completing this assignment,please submit a single pdf file that contains the following:



    1. A brief summary of the dataset you were provided.

    2. Your proposed solution.

    3. A brief (up to 1 page) overview of the approach/methodology you have chosen.

    4. Source code listing or a screenshot image (in the case of Excel) showing the key step of your analysis.


    Your grade for this assignment will be based on the quality of the proposed solution (assessed via a task-specific numerical score) as well as the completeness of your report with the description of the approach you have taken.






  • Rubric

    Analytical Assignment / Homework RubricAnalytical Assignment / Homework Rubric
































    CriteriaRatingsPts
    This criterion is linked to a Learning OutcomeProblem Analysisthreshold:2.0pts










    4ptsPresents an accurate and complete analysis of the question.3ptsIdentifies the problem and discusses it coherently with few flaws.2ptsMostly identifies the problem and discusses it with some analytical flaws.1ptsMostly struggles to identify the critical components of the question.0ptsFails to identify the critical components of the question.

    --
    This criterion is linked to a Learning OutcomeCalculations and Presentation of Resultsthreshold:2.0pts










    4ptsAlways provides correct and complete calculations in a clear presentation.3ptsMostly provides correct and complete calculations in a clear presentation.2ptsOccasionally makes a calculation mistake. Presentation is generally understandable.1ptsMakes repeated mistakes in calculations and presents them in a confusing manner.0ptsCalculations are almost entirely incorrect and/or not intelligible in their presentation.

    --
    This criterion is linked to a Learning OutcomeUse of Course Conceptsthreshold:2.0pts










    4ptsDemonstrates complete command of tools and concepts from the course. Makes appropriate and powerful connections between identified issues and strategic concepts studied in the course readings and class lectures.3ptsDemonstrates good command of tools and concepts from the course. Makes appropriate connections between identified issues and strategic concepts studied in the course readings and class lectures.2ptsDemonstrates limited command of tools and concepts from the course. Makes some connections between identified issues and the strategic concepts studied in the course readings and class lectures.1ptsMakes only a few, if any, connections between identified issues and concepts from the course readings and class lectures.0ptsMakes no connections between identified issues and concepts from the course readings and class lectures.

    --
    This criterion is linked to a Learning OutcomeOverallthreshold:2.0pts










    4ptsA3ptsB2ptsC1ptsD0ptsF

    4pts

    Total Points:4


Answered 6 days AfterJul 21, 2021

Answer To: For this specific task only the following categories: Shopping Cart Analysis : Infer most strongly...

Karthi answered on Jul 26 2021
135 Votes
Discussion of the Apriori Algorithm:
Apriori method surmise that some subset of a recurring product items set has likewise be pe
rsistent. It is
a set of instructions (algorithm) in an order for calculating the market’s basket, as the name implies.
Mango, Apple, Grapes is also included in Mango, Grapes. Based on the Apriori principle, grapes, apple,
and mango must also be present often. This data collection is made up of 6 undertaking. The whole lot
of transaction consists of zeros and ones, with zeros indicating the truancy of a product item and ones
indicating its presence.
To discover engrossing rules from the numerous alternative regulations in this tiny work situation, we
will utilize the following:
a. ???????: The levant acclaim of a product items. The support of item X is simply the
????? ?? ???????????? ????????? ? ?? ?ℎ? ????? ?????? ?? ???????????? ?? ???ℎ???????.
??????? (?????) = (????? ??. ?? ???????????? ????????? ?????) /
(????? ?????? ?? ???????????)
??????? (?????) = 0.666
b. ??????????: The probability of a client purchasing both ? ??? ?. It divides the
?????? ?? ???????????? ?? ?ℎ??ℎ ???ℎ ? ??? ? are involved by the number of
transactions in which Y is involved.
?????????? (? => ?)
= (????? ??. ?? ???????????? ????????? ???ℎ...
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