Main Reference PaperPredictive Analytics for Complex IoT Data Streams, IEEE Internet of Things Journal, June 2017 [Java]
  • An adaptive prediction algorithm called Adaptive Moving Window Regression (AMWR) is proposed for dynamic IoT data by exploiting historical data using machine learning (ML) for accurate prediction in conjunction with CEP.

+ Description
  • An adaptive prediction algorithm called Adaptive Moving Window Regression (AMWR) is proposed for dynamic IoT data by exploiting historical data using machine learning (ML) for accurate prediction in conjunction with CEP.

  • To accurately predict complex events across different fields.

  • To propose a reliable architecture to process real time data.

+ Aim & Objectives
  • To accurately predict complex events across different fields.

  • To propose a reliable architecture to process real time data.

  • Proposed work is tested over number of applications.

+ Contribution
  • Proposed work is tested over number of applications.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.