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{ "item_title" : "Data Analysis and Pattern Recognition in Multiple Databases", "item_author" : [" Animesh Adhikari", "Jhimli Adhikari", "Witold Pedrycz "], "item_description" : "Introduction.- Synthesizing Different Extreme Association Rules in Multiple Data Sources.- Clustering items in time-stamped databases induced by stability.- Mining global patterns in multiple large databases.- Clustering Local Frequency Items in Multiple Data Sources.- Mining Patterns of Select Items in Different Data Sources.- Synthesizing Global Exceptional Patterns in Different Data Sources.- Mining Icebergs in Different Time-Stamped Data Sources.- Mining Calendar-Based Periodic Patterns in Time-Stamped Data.- Measuring Influence of an Item in Time-Stamped Databases.- Summary and Conclusions.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/903/409/331903409X_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" : "" } }
Data Analysis and Pattern Recognition in Multiple Databases|Animesh Adhikari

Data Analysis and Pattern Recognition in Multiple Databases

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Overview

Introduction.- Synthesizing Different Extreme Association Rules in Multiple Data Sources.- Clustering items in time-stamped databases induced by stability.- Mining global patterns in multiple large databases.- Clustering Local Frequency Items in Multiple Data Sources.- Mining Patterns of Select Items in Different Data Sources.- Synthesizing Global Exceptional Patterns in Different Data Sources.- Mining Icebergs in Different Time-Stamped Data Sources.- Mining Calendar-Based Periodic Patterns in Time-Stamped Data.- Measuring Influence of an Item in Time-Stamped Databases.- Summary and Conclusions.

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Details

  • ISBN-13: 9783319034096
  • ISBN-10: 331903409X
  • Publisher: Springer
  • Publish Date: December 2013
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.18 pounds
  • Page Count: 238

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