Loyal enemies : British converts to Islam, 1850-1950 / / Jamie Gilham

• Record Nr.: UNINA9910808908003321
• Autore: Gilham Jamie
• Pubbl/distr/stampa: Oxford, [England] ; ; New York, New York : , : Oxford University Press, , 2014; ©2014
• ISBN: 0-19-025719-9
• Descrizione fisica: 1 online resource (354 p.)
• Classificazione: SOC048000HIS015000REL037010
• Disciplina: 297.092/241
• Soggetti: Muslim converts from Christianity - Great Britain; Muslims - Great Britain
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Machine generated contents note: -- 1. Britain's First Muslim Peer of the Realm: Henry Stanley and Islam in Victorian Britain -- 2. 'A Witness Shall be Raised out of Every Nation': W. H. Abdullah Quilliam and Islam, 1856-1932 -- 3. 'Upholding the Banner of Islam': The Liverpool Muslim Institute and British Converts, 1887-1908 -- 4. 'Buckling on the Armour of Islam': British Conversions, 1908-1953 -- 5. 'Sending Up a Silent Prayer for Allah': British Muslim Lives, 1908-1953 -- 6. 'Loyal Enemies'? Identities, Allegiances and the Eclipse of British Muslims in Late-Imperial Britain.
• Sommario/riassunto: "Loyal Enemies uncovers the history of the earliest British converts to Islam who lived their lives freely as Muslims on British soil, from the 1850s to the 1950s. Drawing on original archival research, it reveals that people from across the range of social classes defied convention by choosing Islam in this period. Through a series of case studies of influential converts and pioneering Muslim communities, Loyal Enemies considers how the culture of Empire and imperialism influenced and affected their conversions and subsequent lives, before examining how they adapted and sustained their faith. Jamie Gilham shows that, although the overall number of converts was small, conversion to Islam aroused hostile reactions locally and nationally. He therefore also probes the roots of antipathy towards Islam and Muslims, identifies ; their manifestations and explores what conversion entailed socially and culturally. He also considers whether there was any substance to persistent allegations that converts had "divided" loyalties between the British Crown and a Muslim ruler, country or community. Loyal Enemies is a book about the past, but its core themes--about faith and belief, identity, Empire, loyalties and discrimination-- are still salient today"--; "First account of the history and remarkable lives of British converts to Islam during the heydey of Empire"--

Advances in Knowledge Discovery and Data Mining : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I / / edited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda

• Record Nr.: UNINA9910484174703321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
• ISBN: 3-319-18038-X
• Edizione: [1st ed. 2015.]
• Descrizione fisica: 1 online resource (XXX, 763 p. 224 illus.)
• Collana: Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 9077
• Disciplina: 006.312
• Soggetti: Data mining; Artificial intelligence; Information storage and retrieval systems; Data Mining and Knowledge Discovery; Artificial Intelligence; Information Storage and Retrieval
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: Social Networks and Social Media -- Maximizing Friend-Making Likelihood for Social Activity Organization -- What Is New in Our City? A Framework for Event Extraction Using Social Media Posts -- Link Prediction in Aligned Heterogeneous Networks -- Scale-Adaptive Group Optimization for Social Activity Planning -- Influence Maximization ; Across Partially Aligned Heterogeneous Social Networks -- Multiple Factors-Aware Diffusion in Social Networks -- Understanding Community Effects on Information Diffusion -- On Burst Detection and Prediction in Retweeting Sequence -- Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network -- Retweeting Activity on Twitter: Signs of Reception -- Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network -- Classification -- Double Ramp Loss Based Reject Option Classifier -- Efficient Methods for Multi-label Classification -- A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification -- Learning Topic-Oriented Word Embedding for Query Classification -- Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes -- Distributed Document Representation for Document Classification -- Prediction of Emergency Events: A Multi-Task Multi-Label Learning Approach -- Nearest Neighbor Method Based on Local Distribution for Classification -- Immune Centroids Over-Sampling Method for Multi-Class Classification -- Optimizing Classifiers for Hypothetical Scenarios -- Repulsive-SVDD Classification -- Centroid-Means-Embedding: an Approach to Infusing Word Embeddings into Features for Text Classification -- Machine Learning -- Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning -- Multi-Task Metric Learning on Network Data -- A Bayesian Nonparametric Approach to Multilevel Regression -- Learning Conditional Latent Structures from Multiple Data Sources -- Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation -- Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning -- Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages -- Uncovering the Latent Structures of Crowd Labeling -- Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models -- Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation -- Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection -- A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization -- Applications -- On Damage Identification in Civil Structures Using Tensor Analysis -- Predicting Smartphone Adoption in Social Networks -- Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data -- Locating Self-collection Points for Last-mile Logistics using Public Transport Data -- A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field -- Online Prediction of Chess Match Result -- Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments -- Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and its Application to Autism Research Literature -- Automated Detection for Probable Homologous Foodborne Disease Outbreaks -- Identifying Hesitant and Interested Customers for Targeted Social Marketing -- Activity-Partner Recommendation -- Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems -- Novel Methods and Algorithms Principal Sensitivity Analysis -- SocNL: Bayesian Label Propagation with Confidence -- An Incremental Local Distribution Network for Unsupervised Learning -- Trend-Based Citation Count Prediction for Research Articles -- Mining Text Enriched Heterogeneous Citation Networks -- Boosting via Approaching Optimal Margin Distribution -- o-HETM: An Online Hierarchical Entity TopicModel for News Streams -- Modeling User Interest and Community Interest in Microbloggings: An ; Integrated Approach -- Minimal Jumping Emerging Patterns: Computation and Practical Assessment -- Factorisation -- An Empirical Study of Personal Factors and Social Effects on Rating Prediction.
• Sommario/riassunto: This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.