PPT-Programming Models for

IoT and Streaming Data IC2E Internet of Things Panel Judy Qiu Indiana University Event Processing Programming Models Query Based Complex Event processing SQL like languages Programming APIs. The ARMApq series is generated by 12 pt pt 12 qt 949 949 949 Thus is essentially the sum of an autoregression on past values of and a moving average o tt t white noise process Given together with starting values of the whole series Greg Morrisett. Goal. Understand how to build models of dynamic systems and . formally . reason about them.. Dynamic Systems. (Possibly infinite) set of states and a transition relation between states.. Knowledge and use of tools and resources in a system: standard libraries, system calls, debuggers, the shell environment, system programs and scripting languages.. Knowledge of file system. Shell environment is rich with its capabilities, options and configurability.. Models for. Count Data. Doctor Visits. Basic Model for Counts of Events. E.g., Visits to site, number of purchases, number of doctor visits. Regression approach. Quantitative outcome measured. Discrete variable, model probabilities. Julian Birkinshaw. London Business School. Types of Innovation. Management model. innovation. Business model . innovation. Product. or Service innovation. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand