Data Mining Assignment

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I’m studying for my MathLab class and don’t understand how to answer this. Can you help me study?

Please answer the questions below. They are picked from the textbook.

Chapter 2:

18.

This exercise compares and contrasts some similarity and distance measures.

(a)

For binary data, the L1 distance corresponds to the Hamming distance; that is, the number of bits that are different between two binary vectors. The Jaccard similarity is a measure of the similarity between two binary vectors. Compute the Hamming distance and the Jaccard similarity between the following two binary vectors.

x = 0101010001

y = 0100011000

(b)

Which approach, Jaccard or Hamming distance, is more similar to the Simple Matching Coefficient, and which approach is more similar to the cosine measure? Explain.

(c)

Suppose that you are comparing how similar two organisms of different species are in terms of the number of genes they share. Describe which measure, Hamming or Jaccard, you think would be more appropriate for comparing the genetic makeup of two organisms. Explain. (Assume that each animal is represented as a binary vector, where each attribute is 1 if a particular gene is present in the organism and 0 otherwise.)

(d)

If you wanted to compare the genetic makeup of two organisms of the same species, e.g., two human beings, would you use the Hamming distance, the Jaccard coefficient, or a different measure of similarity or distance? Explain.

Chapter5:

20.

Consider the task of building a classifier from random data, where the attribute values are generated randomly irrespective of the class labels. Assume the data set contains records from two classes, “+” and “−.” Half of the data set is used for training while the remaining half is used for testing.

(a)

Suppose there are an equal number of positive and negative records in the data and the decision tree classifier predicts every test record to be positive. What is the expected error rate of the classifier on the test data?

(b)

Repeat the previous analysis assuming that the classifier predicts each test record to be positive class with probability 0.8 and negative class with probability 0.2.

(c)

Suppose two-thirds of the data belong to the positive class and the remaining one-third belong to the negative class. What is the expected error of a classifier that predicts every test record to be positive?

(d)

Repeat the previous analysis assuming that the classifier predicts each test record to be positive class with probability 2/3 and negative class with probability 1/3.

Chapter 6:

17.

Suppose we have market basket data consisting of 100 transactions and 20 items. If the support for item a is 25%, the support for item b is 90% and the support for itemset {a, b} is 20%. Let the support and confidence thresholds be 10% and 60%, respectively.

(a)

Compute the confidence of the association rule {a} -> {b}. Is the rule interesting according to the confidence measure?

(b)

Compute the interest measure for the association pattern {a, b}. Describe the nature of the relationship between item a and item b in terms of the interest measure.

(c)

What conclusions can you draw from the results of parts (a) and (b)?

(d) NOT NEEDED FOR THE TEST

Chapter 7:

5.

For the data set with the attributes given below, describe how you would convert it into a binary transaction data set appropriate for association analysis. Specifically, indicate for each attribute in the original data set.

(a) How many binary attributes it would correspond to in the transaction data set,

(b) How the values of the original attribute would be mapped to values of the binary attributes, and

(c) If there is any hierarchical structure in the data values of an attribute that could be useful for grouping the data into fewer binary attributes.

The following is a list of attributes for the data set along with their possible values. Assume that all attributes are collected on a per-student basis:

• Year : Freshman, Sophomore, Junior, Senior, Graduate: Masters, Graduate: PhD, Professional

• Zip code : zip code for the home address of a U.S. student, zip code for the local address of a non-U.S. student

• College : Agriculture, Architecture, Continuing Education, Education, Liberal Arts, Engineering, Natural Sciences, Business, Law, Medical, Dentistry, Pharmacy, Nursing, Veterinary Medicine

• On Campus : 1 if the student lives on campus, 0 otherwise

• Each of the following is a separate attribute that has a value of 1 if the person speaks the language and a value of 0, otherwise.

– Arabic

– Bengali

– Chinese Mandarin

– English

– Portuguese

– Russian

– Spanish

Chapter 8:

1.

Consider a data set consisting of 2^(20) data vectors, where each vector has 32 components and each component is a 4-byte value. Suppose that vector quantization is used for compression and that 2^(16) prototype vectors are used. How many bytes of storage does that data set take before and after compression and what is the compression ratio?

9.

Give an example of a data set consisting of three natural clusters, for which (almost always) K-means would likely find the correct clusters, but bisecting K-means would not.The ages​ (in years) of a random sample of shoppers at a gaming store are shown. Determine the​ range, mean,​ variance, and standard deviation of the sample data set. 12 12​, 21 21​, 23 23​, 15 15​, 20 20​, 18 18​, 20 20​, 16 16​, 13 13​, 16 16
I’m working on a MathLab exercise and need support.

a

The ages (in years) of a random sample of shoppers at a gaming store are shown. Determine the range, mean, variance, and standard deviation of the sample data set.

1212,

2121,

2323,

1515,

2020,

1818,

2020,

1616,

1313,

1616

The range is

a) find the range

b) the mean

c) the variance

d) the standard deviationAssignment 3: Web Design Usability Guide Presentation: online nursing assignment help
Can you help me understand this Computer Science question?

Before you learn how to use web-authoring software to design, edit, and update web-based content, you need to understand basic concepts regarding user interface design and usability. For this assignment, you will create a Web Design Usability Guide Presentation of approximately 3–5 slides that identifies the main interface design criteria for the website of an organization with which you are familiar (i.e., current or past employer) following the directions below.

Directions:

After you have identified an organization, analyze the website and in 3–5 slides (including detailed speaker’s notes):
Describe the interface and UX criteria (include a diagram). Explain the page navigation preferences, such as:
Features Location Look and Feel Naming Conventions Other
Identify mobile website considerations (include a diagram), such as:
Available features Content and design Responsive design Supported browsers Other
Identify the preferred programming language(s):
ASP HTML Javascript PHP Other
Identify the supported browsers, such as:
Chrome Firefox Internet Explorer Opera Safari
Outline the testing protocol.
Define specific steps and systems one should take to review a website and test its features. Include steps to resolve any potential problems.
Your completed assignment should consist of a 3- to 5-slide PowerPoint presentation (including detailed speaker’s notes). Use at least two scholarly articles to complete your research, referencing them in text as you use them and at the end in a reference list. Your writing should be clear, concise, and organized; demonstrate ethical scholarship in accurate representation and attribution of resources; and display accurate spelling, grammar, and punctuation.

Assignment 3 Grading Criteria
Maximum Points
Create a Web Design Usability Guide for an organization that describes the interface and UX criteria. Include a diagram.
16
Create a Web Design Usability Guide for an organization that explains the page navigation components.
20
Create a Web Design Usability Guide for an organization that identifies the mobile website considerations.
8
Create a Web Design Usability Guide for an organization that identifies the programming language.
8
Create a Web Design Usability Guide for an organization that identifies supported browsers.
8
Create a Web Design Usability Guide for an organization that outlines the testing protocol.
20
Write in a clear, concise, and organized manner; demonstrate ethical scholarship in accurate representation and attribution of sources (i.e., APA); and display accurate spelling, grammar, and punctuation.
20
Total:
100

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