Resources

Top Data Mining Groups:

Prof. Han UIUC (http://web.engr.illinois.edu/~hanj/)

Prof. Leskovec (http://snap.stanford.edu/)

Prof. Faloutsos (http://www.cs.cmu.edu/~christos/)

Prof. Karypis (http://glaros.dtc.umn.edu/gkhome/)

LMU DBS (http://www.dbs.ifi.lmu.de/cms/Research)

Prof. Pei (http://www.cs.sfu.ca/~jpei/)

Big data in Biomedicine: http://bigdata.stanford.edu/

Data sets:

SNAP Stanford (http://snap.stanford.edu/data/)

UCI (http://archive.ics.uci.edu/ml/)

openML(http://www.openml.org/)

FODAVA(http://fodava.gatech.edu/visual-data-analytics-data-sets)

Softwares and Codes:

WEKA : http://www.cs.waikato.ac.nz/ml/weka/

ELKI: http://elki.dbs.ifi.lmu.de/

Scikit: http://scikit-learn.org/stable/index.html

LibSVM: http://www.csie.ntu.edu.tw/~cjlin/libsvm/

MOA: http://moa.cms.waikato.ac.nz/

Course about Data Minging:

Machine Learning Foundations: https://www.coursera.org/course/ntumlone

Machine Learning fundamental tools: https://www.coursera.org/course/ntumltwo

Machine Learning: https://www.coursera.org/learn/machine-learning