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90 Pages
###### Geometry of a Linear Program

ENGSCI / STATS 255 Page 1 of 19 Section A: Linear Programming Question 1 (16 marks) An Engineering Science researcher has won a major prize fo r her work in statistical predictions of the spread ...

Course

ENGSCI255

Subject

Statistics

University

The University of Auckland

Season

Spring

94 Pages
###### Decision Variables

ENGSCI / STATS 255 Page 1 of 19 Section A: Linear Programming Question 1 ( 16 marks) An Engineering Science researcher has won a major prize for her work in statistical predictions ...

Course

ENGSCI255

Subject

Statistics

University

The University of Auckland

Season

Spring

87 Pages
###### Optimal Solution and Cost

ENGSCI255 SectionA:LinearProgramming Question1(25marks) MaroonCow isapopularenergydrinkmarketedaroundtheworld. MaroonCow wouldlike toformulateaspecialSummerEditionenergydrinkaspartofawidermarketingcam ...

Course

ENGSCI255

Subject

Statistics

University

The University of Auckland

Season

Spring

23 Pages

Ans 2 a) Here, the linear and quadratic programming problem will be considered. The variables here will be the number of cables used to transfer the data and the constant value will be the leng ...

Course

ENGSCI255

Subject

Statistics

University

The University of Auckland

Season

Spring

## Questions:

TASK back to top Assessment Description This assessment task, is related to Topic 1, and Topics 5-9. Task 1: Practical Analysis [50 marks] There are two steps to complete this task. You are required to perform a data mining task to evaluate different classification algorithms. Load the soybean.arff data set into Weka and compare the performance on this data set for the following classification algorithms: HoeffdingTree SVM ( or SMO).

From step 1 outputs, write a report that shows the performance of the different algorithms and comment on their accuracy using the confusion matrix and other performance metrics used in Weka. In your report consider:  Is there a difference in performance between the algorithms? Which algorithm performs best? Your report should include the necessary screenshots, tables, graphs, etc. to make your report understandable to the reader.

Data Mining Report [50 marks] Topic: Security, Privacy and Ethics in Data Mining. In this task, you are required to read the journal articles provided below and write a short discussion paper based on the topic of security, privacy and ethics in data mining. You must: identify the major security, privacy and ethical implications in data mining; evaluate how significant these implications are for the business sector; and support your response with appropriate examples and references (at least 2 additional references should be sought in addition to the ones below). The recommended word length for this task is 700 to 1000 words. Journal articles: Ryoo, J. ‘Big data security problems threaten consumers’ privacy’ (March 23, 2016) .

### ITC 516 Data Mining

Solved by qualified expert

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## More ITC 516 ITC 516 Data Mining: Questions & Answers

Q

### Geometry of a Linear Program

ENGSCI / STATS 255 Page 1 of 19 Section A: Linear Programming Question 1 (16 marks) An Engineering Science researcher has won a major prize fo r her work in statistical predictions of the spread of epidemic and pandemic diseases. She has decided to sp end all of her \$3000 prize money on books ...

Q

### Decision Variables

ENGSCI / STATS 255 Page 1 of 19 Section A: Linear Programming Question 1 ( 16 marks) An Engineering Science researcher has won a major prize for her work in statistical predictions of the spread of epidemic and pandemic diseases. She has decided to spend all of her \$3000 prize ...

Q

### Optimal Solution and Cost

ENGSCI255 SectionA:LinearProgramming Question1(25marks) MaroonCow isapopularenergydrinkmarketedaroundtheworld. MaroonCow wouldlike toformulateaspecialSummerEditionenergydrinkaspartofawidermarketingcampaign. TheingredientsintheenergydrinkareÞrstmixedintoasyrup,whichislatermixedwith puriÞedwaterfrom ...

Q

Ans 2 a) Here, the linear and quadratic programming problem will be considered. The variables here will be the number of cables used to transfer the data and the constant value will be the length of the cable. Also, the number of island present will also be the det ermining factor since some ...

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