Business Intelligence for Enterprise Internet of Things

Preface
1) Internet of Things (IoTs) Evolutionary Computation, Enterprise Modeling and Simulation 2) Organization Internet of Things (IoTs): Supervised, Unsupervised and Reinforcement Learning 3) Enterprise IoT Modeling: Supervised, Unsupervised and Reinforcement Learning 4) An Overall Perspective on Establishing End-To-End Security In Enterprise-IOT (E-IOT) 5) Advanced Machine learning for Enterprise IoT modelling 6) Enterprise Architecture for IoT: Challenges and Business Trends 7) Semi Supervised Machine Learning Algorithm for Predicting Diabetes using Big Data Analytics 8) On-The-Go Network Establishment of IoT Devices To Meet The Need of Processing Big Data Using Machine Learning Algorithms 9) Analysis of Virtual Machine Placement and Optimization Using Swarm Intelligence Algorithms 10) Performance Evaluation of Different Neural Network Classifiers for Sanskrit Character Recognition 11) GA With Repeated Crossover for Rectifying Optimization Problems 12) An Algorithmic Approach to System Identification In the Delta Domain Using FADFPA Algorithm 13) An IoT Based Controller Realization for PV System Monitoring and Control 14) Development of An Efficient, Cheap and Flexible IoT Based Wind Turbine Emulator 15) An Application of IoT to Develop Concept of Smart Remote Monitoring System 16) Heat-Maps for Human Group Activity in Academic Blocks 17) Emphasizing on Space Complexity in Social Networks for the Investigation of Link Prediction Using Hybrid Approach 18) Overview on Deep Neural Networks: Architecture, Application and Rising Analysis Trends