Building Inclusive Communities in Rural Canada / / edited by Clark Banack, Dionne Pohler

• Record Nr.: UNINA9910719614203321
• Pubbl/distr/stampa: Edmonton, Alberta : , : University of Alberta Press, , 2023
• Descrizione fisica: 1 online resource (xxxiv, 307 pages)
• Disciplina: 307
• Soggetti: Community life
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Acknowledgements Introduction Clark Banack and Dionne PohlerI Rural Demographics and Diversity 1 The Demographic Context of Rural Canada: The Size of the Indigenous and Visible Minority PopulationsRay D. Bollman 2 Making Diversity in Rural Areas Visible: A Changing Perspective for Rural Schools in Québec Sivane Hirsch and Corina Borri-AnadonII Understanding Rural Attitudes toward Inclusivity 3 Partisanship, Patriarchy, and Prejudice: Inclusivity among Evangelicals, Albertans, and Rural CanadiansSamuel Reimer 4 Understanding Rural Attitudes toward Cultural and Religious Minorities via Political Ethnography: The Case of Rural AlbertaClark Banack 5 Driving into Nowhere: Refugee Resettlement and Integration in Rural CanadaStacey Haugen III Practical Tools for Building Inclusive Rural Communities 6 A Noisy Silence: Challenges for Rural Teacher Education Michael Corbett, Jennifer Tinkham, and Claudine Bonner 7 Promoting Understanding and Equity in Rural Canada: The Role of Community Education Michelle Lam 8 Contextual Bible Study: An Effective Practice to Promote Inclusivity in Rural Communities and Faith GroupsColeen LynchIV A Rural Approach to Anti-racism and Settler-Indigenous Relations: Co-operation and Neighbourliness 9 Co-operative Development Possibilities in Rural Settler and Indigenous Communities: Lessons from the Co-operative Innovation Project and Co-operatives First Dionne Pohler, Jen Budney, Murray Fulton, Darcy Overland, Aasa Marshall, Trista Pewapisconias, and Kyle White10 Inclusion on Whose Grounds? Against Liberal Essentialisms and toward Radical Neighbourliness in Rural Anti-; racismPhil Henderson 11 The Work of Neighbours: A Rural Ethos for Reconciliation Roger Epp Conclusion Clark Banack and Dionne Pohler Contributors.
• Sommario/riassunto: "This collection challenges misconceptions that rural Canada is a bastion of intolerance. While examining the extent and nature of contemporary cultural and religious discrimination in rural Canadian communities, the editors and contributors explore the many efforts by rural citizens, community groups, and municipalities to counter intolerance, build inclusive communities, and become better neighbours. Throughout, scholars and community leaders focus on building new understandings, language, and ways of thinking about diversity and inclusion that will resonate with rural people. Scholars of rural studies will find this book useful as will rural community leaders and community organizers."-- Provided by publisher.

Outlier Ensembles : An Introduction / / by Charu C. Aggarwal, Saket Sathe

• Record Nr.: UNINA9910254842703321
• Autore: Aggarwal Charu C
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• ISBN: 3-319-54765-8
• Edizione: [1st ed. 2017.]
• Descrizione fisica: 1 online resource (XVI, 276 p. 55 illus., 9 illus. in color.)
• Disciplina: 005.1
• Soggetti: Computers; Artificial intelligence; Statistics; Information Systems and Communication Service; Artificial Intelligence; Statistics and Computing/Statistics Programs
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: An Introduction to Outlier Ensembles -- Theory of Outlier Ensembles ; -- Variance Reduction in Outlier Ensembles -- Bias Reduction in Outlier Ensembles: The Guessing Game -- Model Combination Methods for Outlier Ensembles -- Which Outlier Detection Algorithm Should I Use?
• Sommario/riassunto: This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle differences do impact the design of ensemble algorithms for the latter problem. This book can be used for courses in data mining and related curricula. Many illustrative examples and exercises are provided in order to facilitate classroom teaching. A familiarity is assumed to the outlier detection problem and also to generic problem of ensemble analysis in classification. This is because many of the ensemble methods discussed in this book are adaptations from their counterparts in the classification domain. Some techniques explained in this book, such as wagging, randomized feature weighting, and geometric subsampling, provide new insights that are not available elsewhere. Also included is an analysis of the performance of various types of base detectors and their relative effectiveness. The book is valuable for researchers and practitioners for leveraging ensemble methods into optimal algorithmic design.