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Zygmunt Bauman and the Theory of Culture
One of the most influential intellectuals of the twentieth and twenty-first centuries, sociologist and philosopher Zygmunt Bauman (1925–2017) made reflection on culture a fundamental part of his academic work. He published a substantial number of papers on the topic, and many of his concepts would go on to significantly influence the social sciences and humanities. Bauman began his theoretical studies on culture when working at the University of Warsaw and continued them all his life. Inspired by the many intellectual currents he encountered over his more than six decades of work, Bauman wrote on culture in the contexts of such issues as Marxism and socialism, modernity and the Holocaust, ...
The Anthem Companion to Zygmunt Bauman
This edited volume will illustrate the continuing interest in Bauman’s work through a number of chapters each dealing with the important aspects of his work and shedding light on some new angles and perspectives on his life and work. It seeks to position Bauman within the field of sociology and to provide some examples of his lasting contribution to and relevance for the discipline. Bauman’s ideas remain an important source of inspiration for many scholars and researchers working within a variety of different fields and sub-fields, appealing equally to empirical work and theoretical elaboration. This book contains ten chapters, and all chapters are devoted to the presentation and discussion of themes and ideas that were characteristic of Bauman’s way of doing and writing. The purpose of this volume – as with the other volumes published in the Anthem Press ‘Companion to Sociology’ series – is to provide a comprehensive overview of Zygmunt Bauman’s continued importance within the field of sociology and related social science disciplines.
Discovery Science
This book constitutes the proceedings of the 20th International Conference on Discovery Science, DS 2017, held in Kyoto, Japan, in October 2017, co-located with the International Conference on Algorithmic Learning Theory, ALT 2017. The 18 revised full papers presented together with 6 short papers and 2 invited talks in this volume were carefully reviewed and selected from 42 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in topical sections on machine learning: online learning, regression, label classification, deep learning, feature selection, recommendation system; and knowledge discovery: recommendation system, community detection, pattern mining, misc.
Advances in Intelligent Data Analysis XIX
This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats.
Hybrid Artificial Intelligent Systems
The two LNAI volumes 6678 and 6679 constitute the proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011, held in Wroclaw, Poland, in May 2011. The 114 papers published in these proceedings were carefully reviewed and selected from 241 submissions. They are organized in topical sessions on hybrid intelligence systems on logistics and intelligent optimization; metaheuristics for combinatorial optimization and modelling complex systems; hybrid systems for context-based information fusion; methods of classifier fusion; intelligent systems for data mining and applications; systems, man, and cybernetics; hybrid artificial intelligence systems in management of production systems; habrid artificial intelligent systems for medical applications; and hybrid intelligent approaches in cooperative multi-robot systems.
Machine Learning and Knowledge Discovery in Databases
The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track.
New Frontiers in Mining Complex Patterns
This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 5th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2016, held in conjunction with ECML-PKDD 2016 in Riva del Garda, Italy, in September 2016. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.
Dark Emotions
Dark Emotions is a book about a range of emotional experiences that are often regarded or characterized as ‘negative’, ‘disturbing’ or ‘dark’ as contrasted with emotions that are ‘positive’, ‘pleasant’ or ‘light’. Each chapter in the book is devoted to introducing different ‘dark emotions’ such as disappointment, betrayal, worry, regret, resentment and alienation and seeks to show – through conceptual, theoretical and empirical examples – how these emotions influence peoples’ lives and their relations to self, others and society. The book thus provides an overview of some dark emotions that are recognizable in our everyday lives and culture. It contains accessible introductions and relevant theoretical and empirical research on 12 different kinds of ‘dark emotions’. The chapters are highly useful for teaching sessions and research contexts. Additionally, they provide extensive lists of references for further reading. The book will be particularly useful for students or scholars with an interest in emotion research or related areas, and the book may inspire further investigation of the often- overlooked emotions presented in this volume.
