Could you tell me the name of opensource tools and web-based for the analysis of big data volumes? (For the prediction, classification, clustering, etc).
You can look into WEKA with fuzzy logic. Here is my published work on educational data mining.
https://www.researchgate.net/publication/295430790_Educational_Data_Mining_Classification_Techniques_for_Recruitment_Analysis
Article Educational Data Mining: Classification Techniques for Recru...
That would depend a lot on what language you use and your performance requirements. If you are just getting started in this space and are comfortable with Python I recommend scikit-learn: http://scikit-learn.org/
It packs a lot of power into a very intuitive API and it's documentation is top notch. Critically, the doc's explain how the methods work in addition to providing implementation examples.
We are using Apache Flink (http://flink.apache.org/) for teaching students in analysis of big data volumes. Apache Flink is an open source platform for distributed stream and batch data processing.
You can look into WEKA with fuzzy logic. Here is my published work on educational data mining.
https://www.researchgate.net/publication/295430790_Educational_Data_Mining_Classification_Techniques_for_Recruitment_Analysis
Article Educational Data Mining: Classification Techniques for Recru...
Colleagues, thanks for the suggestions, I'll analyze and see which are most convenient to my work.
Best regards,
Fabrício Herpich
Hello
The following open source data mining tool can be also useful.
http://www.nltk.org/
1. MS Excel, Google sheets for multi-purposes
2. MS Access or SQL for pre-processing data
3. WEKA for classification, regression, prediction...
4. RapidMiner for creating model.
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