Abstract: This disclosure relates to method and system for analyzing IoT data in real-time and predicting future events. In one embodiment, the method may include acquiring the real-time IoT data corresponding to one or more IoT devices, and building a predictive model based on the real-time IoT data. The predictive model may include a machine learning algorithm that generates an output parameter representing a future event based on a set of input parameters derived from the real-time IoT data. The predictive model may be built by training the predictive model for one or more explanatory input parameters and an expected output parameter. The method may further include predicting the future event based on the real-time IoT data using the predictive model, determining a deviation between the future event and an actual event, and tuning the predictive model based on the deviation.

Abstract: This disclosure relates to method and system for analyzing IoT data in real-time and predicting future events. In one embodiment, the method may include acquiring the real-time IoT data corresponding to one or more IoT devices, and building a predictive model based on the real-time IoT data. The predictive model may include a machine learning algorithm that generates an output parameter representing a future event based on a set of input parameters derived from the real-time IoT data. The predictive model may be built by training the predictive model for one or more explanatory input parameters and an expected output parameter. The method may further include predicting the future event based on the real-time IoT data using the predictive model, determining a deviation between the future event and an actual event, and tuning the predictive model based on the deviation.

Abstract: The present disclosure relates to method and system for determining predictive model for estimating target output for enterprise by predictive model determination system.

Abstract: This disclosure relates generally to data mining, and more particularly to a system and method for performing descriptive analysis in data mining. In one embodiment, a method is provided for performing a descriptive analysis in data mining. The method comprises receiving one or more data files comprising a plurality of data variables from one or more data sources, determining a set of data variables from the plurality of data variables based on their relevance to the descriptive analysis, identifying at least one of a set of continuous data variables and a set of categorical data variables from the set of data variables, and performing a first descriptive analysis on the set of continuous data variables and a second descriptive analysis on the set of categorical data variables.