Generalized supervised meta-blocking

HIGHLIGHTS

• who: Generalized Supervised Meta-blocking et al. from the Uof Modena and Reggio Emilia, Italy have published the article: Generalized supervised meta-blocking, in the Journal: (JOURNAL)
• what: In more detail, the authors compare the top-10 feature sets per algorithm in terms of their running times. The authors assess the scalability of the approaches as the number of candidate pairs |u21e0 | increases, verifying their robustness under versatile settings: instead of real-world Clean-Clean Figure 7: Scalability over the datasets in Table 1b: (a) the weight-based pruning algorithms, (b) the cardinality-based ones . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.