This project is for research purposes in order to find how Map Reduce is processing Bayes Classifier algorithm using Map Reduce paradigm and its Mahout library.
1. To investigate current practices.
2. To develop a plan for experimentation.
3. To pilot tools and services and then make further adjustments and recommendations.
4. To deliver resources and findings.
Both partners will take an active role in all aspects of the project. The project will undertake identifying requirements and constructing the environment for experimentation.
Description of details:
You have to install all environment and prepare for experimentation and provide results with very short scientifically or technical conclusions. After you have to show how to do it and how to change it according data sets. For the first stage you have to use Twitter messages (as described in attached file), for second - please choose alternative data sources to be able compare the output (will be discussed). After success I would like to continue this project and scale experimentation on private cloud environment. We will discuss privately what sources to use in order to scale databases and servers later with additional budget. The project details could be changed during the project incrementally.
Expectations about you:
- You like this topic.
- You stay motivated till the end of this project.
- You can show initiative and take responsibility.
- You like to learn by doing.
- You like to continue doing this project later.
If you could provide the best quality of service and result, than I will award you in the end additionally with the same amount of your Bid.
4 freelancer đang chào giá trung bình $253 cho công việc này
Hello, I have an experience with working in Java, Hadoop, Maven and Mahout. And have done this type of programming during study of Data Mining course. I can complete this project perfectly. Thanks