I'm looking for research papers and tool for big data classification....
It's now very clear that you exactly want:
(a) You want a classification existing in the big data domain (how the big data can be classified and interpreted as a whole).
(b) You want to run some type classification analysis with data that you are having (you want to cluster/interpret data that you are having ).
For (a) your starting points can be this ones:
http://datascience.berkeley.edu/what-is-big-data/
http://www.datasciencecentral.com/profiles/blogs/how-many-v-s-in-big-data-the-characteristics-that-define-big-data
For (b) you can check this:
MLBase, Apache Sparkm, H20, etc.
MOA is for stream mining, right?
What about tool for offline data (big data dataset)?
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