Description

Book Synopsis

1. Introduction.- 2. History, Resources and Tools.- 3. Background Technologies.- 4. Benchmark Data and Reusable Python Code.- 5. Text Mining for Closed Discovery.- 6. Outlier-based Closed Discovery.- 7. Semantic and Outlier-based Open Discovery.- 8. Network-based Closed Discovery.- 9. Embedding-based Closed Discovery.- 10. Research Trends and Lessons Learned.

Bisociative LiteratureBased Discovery

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    A Hardback by Nada Lavrac

    15 in stock


      View other formats and editions of Bisociative LiteratureBased Discovery by Nada Lavrac

      Publisher: Springer
      Publication Date: 06/08/2025
      ISBN13: 9783031968624, 978-3031968624
      ISBN10:
      Also in:
      Computing Data mining

      Description

      Book Synopsis

      1. Introduction.- 2. History, Resources and Tools.- 3. Background Technologies.- 4. Benchmark Data and Reusable Python Code.- 5. Text Mining for Closed Discovery.- 6. Outlier-based Closed Discovery.- 7. Semantic and Outlier-based Open Discovery.- 8. Network-based Closed Discovery.- 9. Embedding-based Closed Discovery.- 10. Research Trends and Lessons Learned.

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