Main Reference PaperRecord Matching over Query Results from Multiple Web Databases, IEEE Transactions on Knowledge and Data Engineering, April 2010
  • This study presents an unsupervised, online approach, UDD, for detecting duplicates over the query results of multiple Web databases. Two classifiers, WCSS and SVM, are used cooperatively in the convergence step of record matching to identify the duplicate pairs from all potential duplicate pairs iteratively. Experimental results derived in this approch is comparable to earlier works that require training examples for identifying duplicates from the query results of multiple Web databases.

+ Description
  • This study presents an unsupervised, online approach, UDD, for detecting duplicates over the query results of multiple Web databases. Two classifiers, WCSS and SVM, are used cooperatively in the convergence step of record matching to identify the duplicate pairs from all potential duplicate pairs iteratively. Experimental results derived in this approch is comparable to earlier works that require training examples for identifying duplicates from the query results of multiple Web databases.

  • To match the record in database.

  • To improve the efficiency of record matching.

  • To identify the duplicates.

+ Aim & Objectives
  • To match the record in database.

  • To improve the efficiency of record matching.

  • To identify the duplicates.

  • Two classifiers, WCSS and SVM, are used cooperatively in the convergence step of record matching to identify the duplicate pairs from all potential duplicate pairs iteratively. This contributed approach is comparable to previous work that requires training examples foridentifying duplicates from the query results of multiple Web databases.

+ Contribution
  • Two classifiers, WCSS and SVM, are used cooperatively in the convergence step of record matching to identify the duplicate pairs from all potential duplicate pairs iteratively. This contributed approach is comparable to previous work that requires training examples foridentifying duplicates from the query results of multiple Web databases.

  • 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.