Main Reference PaperClassification under Streaming Emerging New Classes: A Solution using Completely-random Trees, IEEE Transactions on Knowledge and Data Engineering, April 2017 [Java].
  • The completely-random trees are used in proposed model to solve the problems such as unsupervised learning, supervised learning and model update on data streams in stream classification. In proposed approach, isolation-based anomaly detection method is used to construct the classifier and the detector.

+ Description
  • The completely-random trees are used in proposed model to solve the problems such as unsupervised learning, supervised learning and model update on data streams in stream classification. In proposed approach, isolation-based anomaly detection method is used to construct the classifier and the detector.

  • To detect emerging new classes.

  • To classify known classes.

  • To update models to integrate each new class as part of known classes.

+ Aim & Objectives
  • To detect emerging new classes.

  • To classify known classes.

  • To update models to integrate each new class as part of known classes.

  • Proposed method is improved further through the concept-drifting.

+ Contribution
  • Proposed method is improved further through the concept-drifting.

  • 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.

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