Hi,
I have done several data analysis projects where I analyzed given data sets. I applied data mining techniques to find useful patterns, data visualization using business intelligence tools e.g WEKA and Rapid Miner.
Please read description about some of my data mining projects:
I was part of a team that applied data mining techniques to patient records in order to provide Doctors with a better understanding of their patient profiles. We took 5 year worth or 60,000 of records with 41 attributes (36 qualitative and 4 quantitative) and applied the following models: Data cleaning, Statistical findings, analysis of correlation matrix, visualization by histogram and scatter plotting, frequent item-set mining for visualization of association between attributes. This was important because we can’t find the statistical and visual analytics without applying data mining techniques.
In my another project I was tasked with analyzing a data set of students to evaluate the relative merits of different techniques for analysis. Students had multiple attributes such as nationality, education, attainment levels and other meta-data. I pre-processed the data then I used Rapid Miner to ascertain confidence via frequent item-set mining.
I need to look at your data set then I can write proposal according to work about your data.
Looking forward for further discussion.
Regards,
Rabia