List and explain areas\/events what kind of data you need for online shopping sites like h&m
\nand asos for decision making.
\nExplain the 7 types of decision making for your data such as:
\n1. Association Analysis: Identify how or what data would you need to provide SUPPORT
\nand CONFIDENCE for your rule. Explain, how you will calculate SUPPORT, CONFIDENCE
\nand LIFT. What DECISION would you take based on the values related to SUPPORT,
\nCONFIDENCE and LIFT
\n2. CLUSTER ANALYSIS: Identify if there is a possibility of creating a group\/cluster in your
\nproject ( help with nursing paper writing from experts with MSN & DNP degrees) \uf075 What criteria\/data elements would you use to create clusters. How would you
\ncreate clusters (concepts only). How will clustering help you in your project ( help with nursing paper writing from experts with MSN & DNP degrees)? Explain in
\nterms of the concept of Heterogenous and Homogenous groups and effective use of the
\nclusters.
\n3. Decision Tree: Decision tree is used to show the effect of categorical input on
\ncategorical output (mostly dichotomous\/binary). What could be the categorical input
\nand output in your project ( help with nursing paper writing from experts with MSN & DNP degrees)? How would you measure the effectiveness of effect of the
\ninput on output? Concept of Chi test and p-value \uf075 How would you measure the
\nreliability of this model in decision making? Does Decision Tree help you with decision
\nmaking?
\n4. Logistic Regression: Used when we need to show the effect of an input in
\ndichotomous\/binary output \uf075 Identify the reason of using odds ratio. How would this be
\ndifferent to what decision tree provides? Compare between logistic and decision tree,
\nwhich one would you prefer.
\n5. Neural Network: Used for any type of input or output. Specify the significance of its
\nability to use multiple models in single model. How can Neural Network help with better
\ndecision making for your online shopping site?
\n6. Text Mining: How do you collect unstructured data in your project ( help with nursing paper writing from experts with MSN & DNP degrees)? How would you
\nutilize text mining to better understand the data you may have for your project ( help with nursing paper writing from experts with MSN & DNP degrees)? How
\nimportant is it, in your project ( help with nursing paper writing from experts with MSN & DNP degrees), to perform text mining and how would you explain its
\nimportance? You need to explain with examples on why and how text analysis is helpful
\nin decision making.
\n7. Social Network Analysis: How would you use the concept of degree, betweenness and
\ncloseness centrality to promote your online shopping? Does SNA have significance in
\nterms of decision making?
\nPick what you think helps you most with decision making Of the 7 models\/methods. Which
\none(s) do you think will help you with decision making? List the models and if it hasn\u2019t been
\nexplained earlier, explain the reason for choosing them.<\/p>\n
——-<\/p>\n
List and explain what kind of data you need for online shopping sites like h&m and asos to make decisions.<\/p>\n
Explain the seven types of data-driven decision making, such as:<\/p>\n
1. Association Analysis: Determine how or what data you will require to offer SUPPORT.<\/p>\n
as well as CONFIDENCE in your rule. Explain how you plan to determine SUPPORT and CONFIDENCE.<\/p>\n
as well as LIFT What DECISION would you make based on the SUPPORT values?<\/p>\n
LIFT and CONFIDENCE<\/p>\n
2. CLUSTER ANALYSIS: Determine whether it is possible to form a group\/cluster in your organization.<\/p>\n
the project ( help with nursing paper writing from experts with MSN & DNP degrees) What criteria\/data items would you employ to generate clusters? What would you do?<\/p>\n
make clusters (concepts only). What role will clustering play in your project ( help with nursing paper writing from experts with MSN & DNP degrees)? Explain in detail<\/p>\n
in terms of the Heterogeneous and<\/p>\n","protected":false},"excerpt":{"rendered":"
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