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In the World Library of Educationalists series, international experts themselves compile career-long collections of what they judge to be their finest pieces – extracts from books, key articles, salient research findings, major theoretical and practical contributions – so the world can read them in a single manageable volume. Readers will be able to follow the themes and strands and see how their work contributes to the development of the field. Language and the Joint Creation of Knowledge draws on the most prominent writing of Neil Mercer, covering his ground-breaking and critically acclaimed work on the role of talk in education, and on the relationship between spoken language and cognition. The text explores key themes, relating theoretical ideas to research evidence and to practical educational situations that improve children’s lives. Offering students and researchers a clear, accessible and up-to-date account of a sociocultural perspective on the relationship between spoken language and cognition, it explains one of the key themes in Neil Mercer’s work – that humans have uniquely evolved the capacity to think together, or ‘interthink’. Offering a crucial insight into the work of Neil Mercer, this selection showcases why his approach has become the dominant paradigm in educational research, and why it is increasingly influential in the psychology of teaching and learning. This unique collection of published articles and chapters, which represent the key themes and range of his research over the last 40 years, will be of interest to all followers of his work and any reader interested in the role of language in education.
Knowledge, Groupware, and the Internet details the convergence of modern knowledge management theory and emerging computer technologies, and discusses how they collectively enable business change and enhance an organization's ability to create and share knowledge. This compendium of authoritative articles explains the relationship between knowledge management and two major technologies enabling it: Groupware and the Internet. These critical technologies help an organization evolve from individual to group knowledge, quickly make tacit knowledge explicit, and enable people to use and apply this knowledge. Knowledge, Groupware and the Internet helps readers understand how to unite the people and technologies that define effective knowledge management.
This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.
Existing research papers do not have complete information in depth about the Semantic AI in Knowledge Graphs. This book has all the basic information required to gain in-depth knowledge of this field. Covers neuro-symbolic AI, explainable AI and deep learning to knowledge discover and mining, and knowledge representation and reasoning.
This book constitutes the refereed proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, held in federation with the Second International Conference on Natural Computation ICNC 2006. The book presents 115 revised full papers and 50 revised short papers. Coverage includes neural computation, quantum computation, evolutionary computation, DNA computation, fuzzy computation, granular computation, artificial life, innovative applications to knowledge discovery, finance, operations research, and more.