{"product_id":"9783030492090","title":"Lecture Notes in Computer Science: 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019, Proceedings","description":"\u003ch1\u003eLecture Notes in Computer Science: 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019, Proceedings\u003c\/h1\u003e \u003ch2\u003eKazakov, Dimitar; Erten, Can\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019.\u003c\/p\u003e\n\n\u003cp\u003eThe 11 papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2020-06-03\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030492090\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-49210-6\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 145\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":45377936916620,"sku":"9783030492090","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030492090.jpg?v=1774017849","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783030492090","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}