I am looking for suggestions on the latest predictive data mining softwares for some wave overtopping data I have collected. Since I am new to the topic, can anyone suggest a few good reads on that? Which are the most user-friendly ones? What are the criteria on which I should select one? Thanks in advance.
KNIME si à friendly good software
R is very good software for research
Hi, my suggestion would be RapidMiner - it is really comprehensible from the users' point of view. Very powerful and a popular one would also be R.
I recommend Matlab software. It has lots of toolboxes and a very comprehensive help/manual.
Try KNIME (https://www.knime.org) it is free to download and has data mining tools (decision trees, SVM, kNN etc etc) as well as plugins for R, WEKA so you can use these softwares through KNIME itself. The workflows you create are visual so you can see the workflow of the data analysis. In addition these workflows can be saved and sent to other to implement (really important if you publish and someone want to replicate your work you have it all saved as a workflow!) as well as being reused by yourself. There are lots of you tube videos (https://www.youtube.com/user/KNIMETV) on how to use the software and i found it easy to pick up from this and just playing with the software. Plus they have a user forum where you can post questions if you get stuck.
Hope that helps :)
Danielle
http://scikit-learn.org/stable/ has an easy-to-use API style - but it's a library for the Python programming language, not standalone software with a graphical interface.
Go for rapidminer. https://rapidminer.com/
follow the link for reading about rapidminer
https://rapidminer.com/rapidminer-recommends-reading-2014/
Data Mining is a really broad term, you might want to be more specific on what you are looking for.
I would recommend Python and scikit-learn, has enough tools, and Python is a real friendly language. Rapid miner is fine for industry but not really good to do serious research
Hello Karthika, Try these: 1. WEKA http://www.cs.waikato.ac.nz/ml/weka/
WEKA uses .arff file format and has an accompanying textbook available that can be purchased.
2. Orange http://orange.biolab.si/
Orange uses visual programming and uses .tab file format for data upload.
Dear Karthika,
Encog can be useful for you: http://www.heatonresearch.com/encog
Kind regards,
Olivier PARISOT
WEKA has many techniques (algorithms) that you can apply for your data.
You just have to try which one can be used for prediction or classification.
For example, k-NN (IBk in WEKA) and ANN (MultilayerPerceptron in WEKA) can perform both tasks.
Hi,
Depends on your choice! if you are going to used for just analysis then Weka and rapidMiner is welkl known choice for you Else i will suggest you RapidMiner.
i am looking to hear from you!
http://hadoopkickstart.blogspot.de/2014/02/hadoop-kick-start-hadoop-single-click.html
Regards
Muddsair
Hi,
Actually want u r looking is WEKA which is open source and freely available software tool and one more tool is available for micrsoft is pivot Table tool
Ameet Shah
Hi, Knime and R are a good mix to decrease the complexity about the integration sources, and the process orchestration.
- Badges
- Science topic
- Similar topics
- Computer Science
- Data Mining