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Focus on applying one data analytic algorithm

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Reference no: EM131994389 , Length: word count:1500

Assignment: A Data Analytic Small Project

This is a small project where students will be expected to work in teams of two. Students are required to submit a report that comprises data collection, data analysis and programming tasks. Assignment is based on topics presented during Weeks 4 to 9. Although students will work in teams, each student must write a report independently and also the report will be assessed individually.

The Data Analytic Small Project

Participants: A team of two students: both will finish the project together but write reports independently while sharing some parts of the reports if both contribute equally.

Project Description:

Select one from three topics introduced in Weeks 4-6:
(1) Common Pattern Discovery
(2) Outlier Detection
(3) Recommendation and analyse one of the three types of data introduced in Weeks 7-9:
(a) time series
(b) short text
(c) trajectories
We list some examples: "Outlier detection from stock/sensor time series", "Product/movie/book comment (short text) analysis for recommendation", "Discovering common travel patterns from GPS trajectories for behavior analysis". But your own topics are not limited to these.

Requirements:
(1) you need to collect data from the internet by yourselves. For example, you can download from open data sites or gather (crawl, integrate and prepare) them by yourselves.
(2) you need to focus on applying one data analytic algorithm, such as those that you have practiced in Practical (K-means, PCA and SVM) or others you learn by yourselves, to implement a small program to satisfy this project.
(3) you need to write a report (around 3-4 pages, Maximum 1500 words) about your discovery and the whole process of data collection and analysis, including the following parts:

Project Title

Executive Summary

Data and Application Background (including how to collect and prepare data, what is the data size, what is the data type, what is the content in the data, what is the purpose (application scenario) of data analysis)

Data Analysis (describe how you use one classical data mining algorithm, such as K-means, PCA, SVM and others, to do data analysis and satisfy your application goal)

Results and Demonstration (show the results you have discovered and discuss the performance of your data analysis in terms of efficiency or accuracy etc)

Conclusion

Verified Expert

The project concerned the design of a movie recommendation application whose purpose is to provide a list of movies a particular client is most likely to be interested in according to a particular genre. The application uses data from MovieLens (a movie recommendation service) which contains ratings of movies of different genres from 610 users (each having rated at least 20 movies) in a 5 star rating system. The k-mean data analysis method is used to cluster the movies with the highest average and highest total number of people who rated for recommendation. The project could be used by movie selling enterprises to determine the movies that will satisfy and keep their clientele depending on the genre selected.

Reference no: EM131994389

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Reviews

len1994389

5/24/2018 2:14:26 AM

Additional Requirements and Notes 1. Any text, table, figure, and code adapted from any source must be clearly referenced. 2. All assignments must be submitted through CloudDeakin. Assignments will not be accepted through any other manner without prior approval. Students should note that this means that email and paper based submissions will ordinarily be rejected. 3. Submissions received after the due date are penalised at a rate of 10% (out of the full mark) per day, no exceptions. Late submission after 3 days would be penalised at a rate of 100% out of the full mark. Close of submissions on the due date and each day thereafter for penalties will occur at 11:59 pm Australian Eastern Time (UTC +10 hours) with Daylight Saving. 4. No extension will be granted.

len1994389

5/24/2018 2:14:14 AM

You have a maximum of 1500 words, which allow you to report your data analysis purpose, method, discovered results and demonstration. If you are confident that you can report everything in less than 1500 words, that is ok; otherwise, you have more space to earn marks. The length does not make you lose any marks; but insufficient content does.

len1994389

5/24/2018 2:14:05 AM

Results and Demonstration It clearly show the results you have discovered from the data and evaluate the performance of your data analysis in terms of at least one metric (e.g., efficiency, accuracy, etc.). (3-4 Marks) The results you have discovered from the data are analysed but the performance of your data anslysis is not evaluated. (1-2 Marks) 0 mark Conclusion It provides an excellent summary of the techniques and data analysis results, including your comments on the techniques and data used. (2 Marks) It provides a good summary of the techniques and data analysis results but with limited comments on the techniques and data used . (1 Mark) 0 mark

len1994389

5/24/2018 2:13:59 AM

Data and Application Background It clearly report the data (size, type, features), the data preparation and the application purpose of data analysis. (3-4 Marks) It provides most but not complete information about the data (size, type, features), the data preparation or the application purpose of data analysis. (1-2 Marks) 0 mark Data Analysis It precisely describes the framework of the data analysis process and details the techniques used to satisfy the application goal. (If you use some techniques borrowed from others, please list the original publications in a reference list after the conclusion) (5-7 Marks) The framework of the data analysis process is roughly provided but not complete or some techniques used are not clear. (1-4 Marks) 0 mark

len1994389

5/24/2018 2:13:54 AM

Criteria Excellent Good Not Shown Project Title Clearly specify the data, motivation and technique. (1 Mark) The data, motivation and technique are specified intelligibly but not sharp. (0.5 Mark) 0 mark Executive Summary It concisely summarises your purpose, analysis methods and discovered results. (2 Marks) Your purpose, analysis methods and discovered results are roughly list but incomplete or not very clear. (1 Mark) 0 mark

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