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008			230119s2022 sz | s |||| 0|eng d
020			_a9783030783037
024	7		_a10.1007/978-3-030-78303-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHF5548.32 _b2022 EB
245	0	0	_aIntelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge _cedited by Honghao Gao, Jung Yoon Kim, Walayat Hussain, Muddesar Iqbal, Yucong Duan
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 118 páginas) _b48 ilustraciones
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aEAI/Springer Innovations in Communication and Computing _x2522-8609
505	0		_aPart 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.
520			_aThis 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. Presents recent research and applications in intelligent processing practices and tools for e-commerce data, information and knowledge; Includes topics such as knowledge modeling and reasoning for e-commerce, AI based e-commerce data mining, and blockchain for safety and reliability; Provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.
988			_aSpringer_Engineering_2022
650		7	_2embne _9155949 _aComercio electrónico
650		7	_2embne _9155950 _aMarketing en Internet
776	0	8	_iPrinted edition: _z9783030783020
776	0	8	_iPrinted edition: _z9783030783044
776	0	8	_iPrinted edition: _z9783030783051
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-3-030-78303-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI