Research Updates in Mathematics and Computer Science Vol. 2

This book covers key areas of mathematics and computer science. The contributions by the authors include tumor prediction, machine learning algorithm, data mining, cancer image dataset, diophantine triples, number theory, gaussian diophantine quadruples, diophantine analysis, interval hermitian matrices, schur stability, interval hermitian matrices, birkhoff-young rule, numerical integration, trapezoidal rule, richardson extrapolation, data mining, interval-valued fuzzy sets, intuitionistic fuzzy sets, combinational logic circuits, boolean equation system, digital hazard, digital logic circuits, data breaches, business process, confidentiality and authenticity, image segmentation, skin cancer lesion, image clustering methods, skin cancer image processing, nanofluids, heat transfer, nanoparticle volume fraction, free convection flow, big data, MapReduce (mr) technique, accelerated bat algorithm, data mining, queue waiting time, Erlang distribution, preemptive priority, performance assessment. This book contains various materials suitable for students, researchers, and  academicians in the field of mathematics and computer science.