-
-
-
-
URL copied!
In an IoT / internet and things 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’ comments and reviews, etc. This data contains insights that 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 two simple but popular data mining techniques—linear regression (in R) and Spring Batch—by working through a use case in the form of an app called Electrack, which helps users minimize their electricity expenses by keeping track of their daily consumption.
Author
Top Insights
Innovators and Laggards: The Technology Landscape of 2019
Digital TransformationPerspectiveAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMediaTechnology
Top Authors
Vice President, Client Engagement
AVP, Engineering
Consultant, Engineering
Principal Architect
Blog Categories
Let’s Work Together
Related Content
Leveraging SaMD Applications to Improve Patient Care and Reduce Costs
One of the most exciting developments in healthcare is the emergence of Software as a Medical Device (SaMD) as a more convenient and cost-effective means to deliver superior care to the tens of millions of people worldwide who suffer from various health conditions.
Learn more
If You Build Products, You Should Be Using Digital Twins
Digital twin technology is one of the fastest growing concepts of Industry 4.0. In the simplest terms, a digital twin is a virtual replica of a real-world object that is run in a simulation environment to test its performance and efficacy
Learn more
Share this page:
-
-
-
-
URL copied!