List and explain areas/events what kind of data you need for online shopping websites like h&m
and asos for resolution making.
Explain the 7 varieties of resolution making for your data corresponding to:
1. Affiliation Assessment: Establish how or what data would you need to offer SUPPORT
and CONFIDENCE for your rule. Explain, how you will calculate SUPPORT, CONFIDENCE
and LIFT. What DECISION would you take primarily based on the values associated to SUPPORT,
CONFIDENCE and LIFT
2. CLUSTER ANALYSIS: Establish if there’s a risk of creating a bunch/cluster in your
undertaking What standards/data components would you use to create clusters. How would you
create clusters (ideas solely). How will clustering Help you in your undertaking? Explain in
phrases of the idea of Heterogenous and Homogenous teams and efficient use of the
clusters.
three. Choice Tree: Choice tree is used to point out the impact of categorical enter on
categorical output (largely dichotomous/binary). What might be the specific enter
and output in your undertaking? How would you measure the effectiveness of impact of the
enter on output? Idea of Chi check and p-value How would you measure the
reliability of this mannequin in resolution making? Does Choice Tree Help you with resolution
making?
four. Logistic Regression: Used once we need to point out the impact of an enter in
dichotomous/binary output Establish the rationale of utilizing odds ratio. How would this be
totally different to what resolution tree supplies? Evaluate between logistic and resolution tree,
which one would you desire.
5. Neural Community: Used for any kind of enter or output. Specify the importance of its
skill to make use of a number of fashions in single mannequin. How can Neural Community Help with higher
resolution making for your online shopping website?
6. Textual content Mining: How do you acquire unstructured data in your undertaking? How would you
make the most of textual content mining to higher perceive the data you could have for your undertaking? How
essential is it, in your undertaking, to carry out textual content mining and how would you explain its
significance? You need to explain with examples on why and how textual content Assessment is useful
in resolution making.
7. Social Community Assessment: How would you use the idea of diploma, betweenness and
closeness centrality to advertise your online shopping? Does SNA have significance in
phrases of resolution making?
Decide what you suppose helps you most with resolution making Of the 7 fashions/strategies. Which
one(s) do you suppose will Help you with resolution making? List the fashions and if it hasn’t been
defined earlier, explain the rationale for selecting them.
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List and explain what kind of data you need for online shopping websites like h&m and asos to make choices.
Explain the seven varieties of data-driven resolution making, corresponding to:
1. Affiliation Assessment: Decide how or what data you would require to supply SUPPORT.
in addition to CONFIDENCE in your rule. Explain how you plan to find out SUPPORT and CONFIDENCE.
in addition to LIFT What DECISION would you make primarily based on the SUPPORT values?
LIFT and CONFIDENCE
2. CLUSTER ANALYSIS: Decide whether or not it’s attainable to kind a bunch/cluster in your group.
the undertaking What standards/data objects would you make use of to generate clusters? What would you do?
make clusters (ideas solely). What function will clustering play in your undertaking? Explain intimately
in phrases of the Heterogeneous and
