Experiment Design & Result Analysis
Assignment 4 – Experiment Design & Result Analysis
Tasks:
1. Collect
your data for experiment
a. Identify
the available data sources for collection.
b. Select
the most appropriate data source(s) and start data collection. You are asked to
record the data sources that you have found, brief description of the available
data using the following sample table:
Data
|
Source
|
Data
|
Data File
|
URL (if
|
Charge
|
Target
|
||||||||||||||
Source
|
Organization
|
Description
|
Format
|
available
|
Fee
|
data
|
||||||||||||||
Name
|
online)
|
source
|
||||||||||||||||||
Data
1
|
Sport Centre,
|
Exercise
|
txt
|
http://xxxxxxx
|
Free
|
Yes
|
||||||||||||||
VU
|
training
|
|||||||||||||||||||
record
|
||||||||||||||||||||
Data
2
|
…
|
…
|
…
|
…
|
$1000
|
No
|
||||||||||||||
c. Store
the collected data in appropriate file format. You need to save the collected
raw data, and keep a copy at all times.
i. Create
a folder called “raw data” to store the collected raw data
ii. Record
your data collection using the following sample table:
Data
|
Date of
|
Saved File
|
Saved
|
Saved File
|
No. of Data Records
|
||||||||||||
Source
|
Collection
|
Location
|
File
|
Format
|
|||||||||||||
Name
|
Name
|
||||||||||||||||
Data
1
|
15/3/2016
|
//raw data/
|
xxxx.txt
|
txt
|
2000
|
||||||||||||
Data
3
|
…
|
…
|
…
|
…
|
a. Adopt
data pre-processing. Not all the collected raw data are available as direct
input of your methodology.
b. Feature
selection or dimension reduction. You may need to select some of data features
or data records from the entire data collection, not to use all the collected
data. In other case, you may need to reduce the dimensionality of the collected
data to simplify the data processing in the later stages. You need to save the
result data set into a new file. You are asked to record these works using the
following sample table.
Date
|
Data
|
Purpose
|
Pre-
|
No.
|
No.
|
No.
|
No.
|
New
|
|||||||||||||||||
Source
|
of Pre-
|
processi
|
Original
|
Result
|
Original
|
Result
|
Data
|
||||||||||||||||||
Name
|
processi
|
ng
|
Data
|
Data
|
Features
|
Feature
|
File
|
||||||||||||||||||
ng
|
Method
|
Records
|
Records
|
s
|
Name
|
||||||||||||||||||||
20/3/2
|
Data 1
|
Clean the
|
Pre-fill
|
2000
|
2000
|
10
|
10
|
Data1_f
|
|||||||||||||||||
016
|
missing
|
the
|
ull.txt
|
||||||||||||||||||||||
data
|
missing
|
||||||||||||||||||||||||
values
|
|||||||||||||||||||||||||
22/3/2
|
Data
1
|
Feature
|
xxxxxx
|
2000
|
2000
|
10
|
6
|
Data1_6
|
|||||||||||||||||
016
|
Selection
|
features
|
|||||||||||||||||||||||
.txt
|
|||||||||||||||||||||||||
…
|
Data 3
|
…
|
…
|
…
|
…
|
c. Design
your experiment based on the proposed methodology. The main purpose of
experiments is to prove that your methodology can provide expected outcomes.
You can follow the experiments that you have read from literatures or any other
ways that is suitable for your case. Your experiments procedure need to be
detailed recorded, including instruction steps, input data, expected output,
potential problems and other related issues. When state the procedure of experiment,
you can use extra table, figure, chart, diagram to provide better description.
Date
|
Experiment
|
Purpose of
|
Description
|
Input
|
Expected
|
Result File
|
||||||||||||||
Experiment
|
of
|
Data
|
Output
|
Name
|
||||||||||||||||
Procedure
|
||||||||||||||||||||
26/3/
|
Experiment 1
|
Evaluate
|
…
|
…
|
…
|
Output1.txt
|
||||||||||||||
2016
|
Method 1
|
|||||||||||||||||||
d. To
implement your experiment, normally you need to use software/tools or write
your own program. Record your experiment results for each run as the references
of the following analysis task.
3. Result
analysis and summary
a. What are the expected results that you want to
obtained from the experiment? You need to have a rough idea of what you may
have in advance; you cannot wait until the experiment is done.
b. Plan
your result analysis by thinking of what result you may have first. Write a
summary of why you expected to have that results, how they can be linked to
your research problems.
4. Write
up your experiment and result analysis chapter.
a. Provide
an outline of your experiment and result analysis chapter, including up to four
levels of subsections. Only need to list the chapter titles (level 1), section
titles (level 2), subsection titles (level 3), and sub-subsection titles (level
4).
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