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1. |
Record Nr. |
UNINA9910446348103321 |
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Autore |
Mills D.S |
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Titolo |
The Encyclopedia of Applied Animal Behaviour and Welfare |
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Pubbl/distr/stampa |
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ISBN |
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1-84593-733-3 |
1-84972-635-3 |
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Descrizione fisica |
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1 online resource (701 p.) |
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Altri autori (Persone) |
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Marchant-FordeJ.N |
McGreevyP.D |
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Disciplina |
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Soggetti |
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Animal behavior |
Animal welfare |
Social Control, Formal |
Behavior |
Sociology |
Behavior and Behavior Mechanisms |
Behavior, Animal |
Animal Welfare |
Psychiatry and Psychology |
Social Sciences |
Anthropology, Education, Sociology and Social Phenomena |
Social Welfare & Social Work |
Zoology |
Health & Biological Sciences |
Animal Behavior |
Social Welfare & Social Work - General |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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The Encyclopedia of Applied Animal Behaviour and Welfare; Contributors; Guide to Authors' Initials; Preface; Foreword; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X; Z; Species Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; V; W; X; Y; Z; Subject Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; Y; Z |
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Sommario/riassunto |
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Welfare research has established a range of scientific indicators of stress, welfare and suffering in animals that can be applied to all aspects of improving their welfare through good housing and management, and the topic continues to grow in importance among both professionals and the public. The practical focus of this authoritative, comprehensive encyclopedia aims to promote the understanding and improvement of animals' behaviour without compromising welfare. Under the editorial direction of Professor Daniel Mills, the UK's first specialist in veterinary behavioural medicine, over 180 inte |
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2. |
Record Nr. |
UNINA9910645895903321 |
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Titolo |
Web Information Systems and Technologies : 16th International Conference, WEBIST 2020, November 3–5, 2020, and 17th International Conference, WEBIST 2021, October 26–28, 2021, Virtual Events, Revised Selected Papers / / edited by Massimo Marchiori, Francisco José Domínguez Mayo, Joaquim Filipe |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (235 pages) |
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Collana |
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Lecture Notes in Business Information Processing, , 1865-1356 ; ; 469 |
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Disciplina |
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Soggetti |
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Information technology - Management |
Computer Application in Administrative Data Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Virtual Testing Environment for Smart Automations in the Internet of Things -- Machine Learning based Finding of Similar Sentences from French Clinical Notes -- A Comparative Study of Energy Domain Ontologies Semantic Label Representations with Lbl2Vec: A Similarity-based Approach for Unsupervised Text Classification Towards |
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Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil Indonesia Government and Social Networks: Response Analysis about Food Security during COVID-19 Pandemic An Adaptive Filter for Preference Fine-tuning in Recommender Systems Graph-based Recommendation Engine for Stock Investment Decisions LDViz: A Tool to Assist the Multidimensional Exploration of SPARQL Endpoints Flexible Detection of Similar DOM Elements GeoSoft: A Language for Soft Querying Features within GeoJSON Information Layers. |
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Sommario/riassunto |
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This book constitutes revised selected papers from the 16th and 17th International Conferences on Web Information Systems and Technologies, WEBIST 2020 and WEBIST 2021, which took place virtually in November 2020 and October 2021, respectively. The 10 full papers from WEBIST 2021 and 1 full paper from WEBIST 2020 presented in this volume were carefully reviewed and selected from originally 48 paper submissions in 2020 and 107 submissions in 2021. The selected papers contribute to the understanding of relevant current research trends in Web information systems and technologies, including deep learning, knowledge representation and reasoning, recommender systems, internet of things, Web intelligence and big data. |
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