Processing and Mining Data in IoT Systems and Enterprise Applications

Insight categories: AI and MLIoTAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMedia

In an IoT聽/ internet and things聽based system or data-oriented enterprise application, a myriad of data is generated on a daily basis in the form of logs, readings from the sensors, users鈥 comments and reviews, etc. This data contains insights that聽can be of great business value. But before realizing any real value, the most significant challenge is to find the optimum way to warehouse and then mine this data for business-driven decision making.

This white paper describes聽two simple but popular聽data mining techniques鈥攍inear regression (in R) and Spring Batch鈥攂y working through a use case in the form of聽an app called Electrack, which helps users minimize their electricity expenses by keeping track of their daily consumption.

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Aryan Singh

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