menu
{ "item_title" : "New Frontiers in Mining Complex Patterns", "item_author" : [" Annalisa Appice", "Corrado Loglisci", "Giuseppe Manco "], "item_description" : "This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/31/978/679/3319786792_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" : "" } }
New Frontiers in Mining Complex Patterns|Annalisa Appice

New Frontiers in Mining Complex Patterns : 6th International Workshop, Nfmcp 2017, Held in Conjunction with Ecml-Pkdd 2017, Skopje, Macedonia, Septembe

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

Overview

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.
The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics.

This item is Non-Returnable

Details

  • ISBN-13: 9783319786797
  • ISBN-10: 3319786792
  • Publisher: Springer
  • Publish Date: March 2018
  • Dimensions: 9.21 x 6.14 x 0.45 inches
  • Shipping Weight: 0.67 pounds
  • Page Count: 197

Related Categories

You May Also Like...

    1

BAM Customer Reviews