1. 1. Supervised Machine Learning: A Survey of Classification techniques” by S. B. Kostiantis.
   2. “Data Mining tasks Classification: Decision Tree Reconvery” and methods: by Ronny Kohavi and J. Ross Quinlan.
   3.  “ Applications of Machine Learning and rule Induction” by Pat Langely and Herbert A. Simon.
   4. “Data Mining: Practical Machine Learning tools and techniques” by Ian H. Witten, Ebbie frank, Mark A. Hall and Christopher J. Pal.
   5.  “Mllib: Machine Learning in Apache Spark” by Xiangrui Meng, Joseph Bradley