# data[].attributes.headline
Weekly exercises should be released earlier so we can go through the data/pretute work sooner. More weeks should be allocated for text mining, and increase amount of hands-on exercises in WEKA - Daphanee

# data[].attributes.subject
Weekly exercises should be released earlier so we can go through the data/pretute work sooner. More weeks should be allocated for text mining, and increase amount of hands-on exercises in WEKA - Daphanee

# data[].attributes.headline
2.5? I wouldnt say it was about right because they were mostly challenging but not too hard either - Daphanee

# data[].attributes.subject
2.5? I wouldnt say it was about right because they were mostly challenging but not too hard either - Daphanee

# data[].attributes.headline
We didnt have time to comprehensively learn much about data mining but its an extremely useful skill and I've learnt a lot - Daphanee

# data[].attributes.subject
We didnt have time to comprehensively learn much about data mining but its an extremely useful skill and I've learnt a lot - Daphanee

# data[].attributes.headline
Should allocate more time on text mining - Daphanee

# data[].attributes.subject
Should allocate more time on text mining - Daphanee

# data[].attributes.headline
The assignment required us to do beyond the scope of what we learnt in class, and that was really challenging - Daphanee

# data[].attributes.subject
The assignment required us to do beyond the scope of what we learnt in class, and that was really challenging - Daphanee

# data[].attributes.headline
Being able to mine data hands-on with a Data Mining system and not just learning the theory - Daphanee

# data[].attributes.subject
Being able to mine data hands-on with a Data Mining system and not just learning the theory - Daphanee

# data[].attributes.headline
It's more than inputting data into a system and running the system, its days and weeks of preprocessing data and trying out various different ways to torture the data to obtain meaningful information - Daphanee

# data[].attributes.subject
It's more than inputting data into a system and running the system, its days and weeks of preprocessing data and trying out various different ways to torture the data to obtain meaningful information - Daphanee

# data[].attributes.body
The whole tutorial class shouldn't be only the tutorial exercise. First half an hour tutor should teach the exercise. Then the students should do it. - Dulara

# data[].attributes.headline
Spending way too much time on assignment and quiz where some question are not being taught in the class.

# data[].attributes.subject
Spending way too much time on assignment and quiz where some question are not being taught in the class.

# data[].attributes.headline
more text mining and other data mining technique

# data[].attributes.subject
more text mining and other data mining technique

# data[].attributes.headline
In general, i was able to learn more technique for data analysis than any other unit but i felt that the content that being taught in the unit are too general.

# data[].attributes.subject
In general, i was able to learn more technique for data analysis than any other unit but i felt that the content that being taught in the unit are too general.

# data[].attributes.headline
learning different classification and data mining technique for different type of problem and dataset. 

# data[].attributes.subject
learning different classification and data mining technique for different type of problem and dataset. 

# data[].attributes.headline
i would prefer to use software that is being use in the industry. eg, SAS, SPSS or SAP. Also more on text mining

# data[].attributes.subject
i would prefer to use software that is being use in the industry. eg, SAS, SPSS or SAP. Also more on text mining

# data[].attributes.headline
After doing all the dirty work, finally get to understand what we are doing

# data[].attributes.subject
After doing all the dirty work, finally get to understand what we are doing

# data[].attributes.headline
Finding insight from a set of data which is meaningless before that

# data[].attributes.subject
Finding insight from a set of data which is meaningless before that

# data[].attributes.headline
We have to learn by ourself on this subject where is new to us

# data[].attributes.subject
We have to learn by ourself on this subject where is new to us

# data[].attributes.headline
We didnt have much time to learn this unit thoroughly but it does give us a good headstart

# data[].attributes.subject
We didnt have much time to learn this unit thoroughly but it does give us a good headstart

# data[].attributes.body
2

# data[].attributes.headline
More explanation or demo should be given before tutorial

# data[].attributes.subject
More explanation or demo should be given before tutorial

# data[].attributes.headline
The hands-on practical. The step-by-step guides were very useful and the feeling of getting to see the many forms of results are truely awesome

# data[].attributes.subject
The hands-on practical. The step-by-step guides were very useful and the feeling of getting to see the many forms of results are truely awesome

# data[].attributes.headline
The assignment and quizzes were challenging and enabled us to learn more and apply our knowledge

# data[].attributes.subject
The assignment and quizzes were challenging and enabled us to learn more and apply our knowledge

# data[].attributes.headline
Getting information from a set of data that might seem random and useless at first, but turns out to be important

# data[].attributes.subject
Getting information from a set of data that might seem random and useless at first, but turns out to be important

# data[].attributes.headline
It is a good introduction and start to learning data mining and I have learnt a lot

# data[].attributes.subject
It is a good introduction and start to learning data mining and I have learnt a lot

# data[].attributes.headline
The demo at the end of every lecture was useful but I think more time should be allocated for text mining

# data[].attributes.subject
The demo at the end of every lecture was useful but I think more time should be allocated for text mining

# data[].attributes.headline
It does help to understand more and do do the hands-on exercises in the tutorial. + point - step-by-step guides were very useful and clear

# data[].attributes.subject
It does help to understand more and do do the hands-on exercises in the tutorial. + point - step-by-step guides were very useful and clear

# data[].attributes.headline
Data mining is not just about data, but to analyse what insights we can get from the output obtained after testing various techniques is challenging

# data[].attributes.subject
Data mining is not just about data, but to analyse what insights we can get from the output obtained after testing various techniques is challenging

# data[].attributes.headline
Text mining seems fun and interesting, more hands on should be added for that

# data[].attributes.subject
Text mining seems fun and interesting, more hands on should be added for that

# data[].attributes.body
Data mining is about getting meaningful implications out of the data

# data[].attributes.body
The hands-on practice are challenging yet useful in getting us familiar with the software as well as the data mining work at a basic level.

# data[].attributes.body
Yes.

# data[].attributes.body
The most challenging aspect is how to "look" at the output/results and get the implications from it.

# data[].attributes.body
Text mining and Cluster analysis should be focused more.

# data[].attributes.body
A foundation for beginners in Data mining and in deed boost my interest with this field.

# data[].attributes.body
2.5

# data[].attributes.body
2.5

# data[].attributes.body
More detail and instruction on one text mining and cluster analysis would be useful.

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this is a useful skill together with the software like WEKA to sort and clean the data and to ultimately find insights from the dataset. - kenneth

# data[].attributes.subject
this is a useful skill together with the software like WEKA to sort and clean the data and to ultimately find insights from the dataset. - kenneth

# data[].attributes.headline
YES it does, but it can be more helpful if there is a step-by-step guideline doc

# data[].attributes.subject
YES it does, but it can be more helpful if there is a step-by-step guideline doc

# data[].attributes.body
- kenneth

# data[].attributes.headline
the tutorial hands on exercise are the most helpful to me. although it took more than the comp lab time given to us

# data[].attributes.subject
the tutorial hands on exercise are the most helpful to me. although it took more than the comp lab time given to us

# data[].attributes.body
- kenneth

# data[].attributes.headline
exploring the WEKA, especially when doing the assignment. Biggest challenge to me is to as a business student/user, i dont know where is the expectation about how deep should i understand the data mining background. 

# data[].attributes.subject
exploring the WEKA, especially when doing the assignment. Biggest challenge to me is to as a business student/user, i dont know where is the expectation about how deep should i understand the data mining background. 

# data[].attributes.body
- kenneth

# data[].attributes.body
Data mining able to discover meaningful insight from a set of data.

# data[].attributes.headline
The exposure to weka application is still not enough

# data[].attributes.subject
The exposure to weka application is still not enough

# data[].attributes.headline
More time on step-by-step guidance for weka.

# data[].attributes.subject
More time on step-by-step guidance for weka.