Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge (Eai/springer Innovations in Communication and Computing) / Gao, Honghao (EDT)/ Kim, Jung Yoon (EDT)/ Hussain, Walayat (EDT)

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Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge (Eai/springer Innovations in Communication and Computing)

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Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge (Eai/springer Innovations in Communication and Computing)

Gao, Honghao (EDT)/ Kim, Jung Yoon (EDT)/ Hussain, Walayat (EDT)

ウェブストア価格 ¥27,270（本体¥24,791）
Springer Nature Switzerland AG（2021/11発売）
外貨定価 US$ 129.99
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ポイント 1,235pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

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製本 Hardcover:ハードカバー版／ページ数 118 p.
商品コード 9783030783020

Full Description

This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in artificial intelligence to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as machine learning, deep learning; personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency.

Part I. Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge.- Chapter 1. Distant Supervision for E-commerce Query Segmentation via Attention Network.- Chapter 2. Volunteer Task Recommender in Humanitarian Supply Chain for Effective Disaster Management.- Chapter 3. Purpose Computation Oriented Modeling and Transformation on DIKW Architecture.- Chapter 4. Toward a Blockchain-based Rural Supply Chain Management Platform for Targeted Poverty Alleviation in China.- Chapter 5. Centralised Quality of Experience & Service Framework using PROMETHEE-II for cloud provider selection.- Chapter 6. Analysis of e-Consumer Behavior during the COVID-19 pandemic.