Main Reference PaperApp Miscategorization Detection: A Case Study on Google Play, IEEE Transactions on Knowledge and Data Engineering, March 2017 [Java].
  • FRAC+, (FR)ramework for (A)pp (C)ategorization based on probabilistic modeling is proposed that utilizes app descriptions as normalized vectors in the space of words and categorize and detect miscategorized apps accurately.

+ Description
  • FRAC+, (FR)ramework for (A)pp (C)ategorization based on probabilistic modeling is proposed that utilizes app descriptions as normalized vectors in the space of words and categorize and detect miscategorized apps accurately.

  • To suggests the categories appropriate for the app automatically.

  • To categorize and detect accurately than word count based generic models .

+ Aim & Objectives
  • To suggests the categories appropriate for the app automatically.

  • To categorize and detect accurately than word count based generic models .

  • Hierarchical categorization technique is contributed.

+ Contribution
  • Hierarchical categorization technique is contributed.

  • 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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