menu
{ "item_title" : "Data Mining and Machine Learning with Applications", "item_author" : [" Wei Fang "], "item_description" : "The Special Issue entitled Data Mining and Machine Learning with Applications aimed to connect researchers in the fields of deep learning, artificial intelligence, data mining, and machine learning. Included within this reprint are all the accepted articles that were published in the Special Issue. It is our hope that readers can benefit from the valuable insights presented in these papers, ultimately contributing to the advancement of these rapidly expanding areas. Furthermore, we believe that this Special Issue will shed light on major developments in machine learning and data mining, drawing the attention of the scientific community towards further investigations that will expedite the implementation of these techniques.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/659/807/3036598073_b.jpg", "price_data" : { "retail_price" : "96.85", "online_price" : "96.85", "our_price" : "96.85", "club_price" : "96.85", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Mining and Machine Learning with Applications|Wei Fang

Data Mining and Machine Learning with Applications

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

The Special Issue entitled "Data Mining and Machine Learning with Applications" aimed to connect researchers in the fields of deep learning, artificial intelligence, data mining, and machine learning. Included within this reprint are all the accepted articles that were published in the Special Issue. It is our hope that readers can benefit from the valuable insights presented in these papers, ultimately contributing to the advancement of these rapidly expanding areas. Furthermore, we believe that this Special Issue will shed light on major developments in machine learning and data mining, drawing the attention of the scientific community towards further investigations that will expedite the implementation of these techniques.

Details

  • ISBN-13: 9783036598079
  • ISBN-10: 3036598073
  • Publisher: Mdpi AG
  • Publish Date: January 2024
  • Dimensions: 9.61 x 6.69 x 0.88 inches
  • Shipping Weight: 1.73 pounds
  • Page Count: 272

Related Categories

You May Also Like...

    1

BAM Customer Reviews