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{ "item_title" : "Granular-Relational Data Mining", "item_author" : [" Piotr Hońko "], "item_description" : "Preface.- Chapter 1: Introduction.- Part I: Generalized Related Set Based Approach.- Chapter 2: Information System for Relational Data.- Chapter 3: Properties of Granular-Relational Data Mining Framework.- Chapter 4: Association Discovery and Classification Rule Mining.- Chapter 5: Rough-Granular Computing.- Part II: Description Language Based Approach.- Chapter 6: Compound Information Systems.- Chapter 7: From Granular-Data Mining Framework to its Relational Version.- Chapter 8: Relation-Based Granules.- Chapter 9: Compound Approximation Spaces.- Conclusions.- References.- Index.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/984/977/3319849778_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Granular-Relational Data Mining|Piotr Hońko

Granular-Relational Data Mining : How to Mine Relational Data in the Paradigm of Granular Computing?

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Overview

Preface.- Chapter 1: Introduction.- Part I: Generalized Related Set Based Approach.- Chapter 2: Information System for Relational Data.- Chapter 3: Properties of Granular-Relational Data Mining Framework.- Chapter 4: Association Discovery and Classification Rule Mining.- Chapter 5: Rough-Granular Computing.- Part II: Description Language Based Approach.- Chapter 6: Compound Information Systems.- Chapter 7: From Granular-Data Mining Framework to its Relational Version.- Chapter 8: Relation-Based Granules.- Chapter 9: Compound Approximation Spaces.- Conclusions.- References.- Index.

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Details

  • ISBN-13: 9783319849775
  • ISBN-10: 3319849778
  • Publisher: Springer
  • Publish Date: May 2018
  • Dimensions: 9.21 x 6.14 x 0.3 inches
  • Shipping Weight: 0.45 pounds
  • Page Count: 123

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