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{ "item_title" : "Trends and Applications in Knowledge Discovery and Data Mining", "item_author" : [" U. Kang", "Ee-Peng Lim", "Jeffrey Xu Yu "], "item_description" : "This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/967/273/3319672738_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Trends and Applications in Knowledge Discovery and Data Mining|U. Kang

Trends and Applications in Knowledge Discovery and Data Mining : Pakdd 2017 Workshops, Mlsda, Bdm, DM-BPM Jeju, South Korea, May 23, 2017, Revised Sele

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Overview

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

This item is Non-Returnable

Details

  • ISBN-13: 9783319672731
  • ISBN-10: 3319672738
  • Publisher: Springer
  • Publish Date: October 2017
  • Dimensions: 9.21 x 6.14 x 0.46 inches
  • Shipping Weight: 0.69 pounds
  • Page Count: 203

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