Land of smoke and mirrors [[electronic resource] ] : a cultural history of Los Angeles / / Vincent Brook

• Record Nr.: UNINA9910786361703321
• Autore: Brook Vincent <1946->
• Pubbl/distr/stampa: New Brunswick, N.J., : Rutgers University Press, 2012
• ISBN: 0-8135-5458-6; 1-283-71723-9
• Descrizione fisica: 1 online resource (316 p.)
• Disciplina: 979.4; 979.494
• Soggetti: Popular culture - California - Los Angeles - History; Motion picture industry - California - Los Angeles - History; Cultural pluralism - California - Los Angeles - History; Minorities - California - Los Angeles - History; Hollywood (Los Angeles, Calif.) History; Los Angeles (Calif.) Social conditions; Los Angeles (Calif.) History; Los Angeles (Calif.) In literature; Los Angeles (Calif.) In motion pictures
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- PROLOGUE -- Introduction -- PART ONE. Original Si(g)n -- PART TWO. Si(g)n City -- PART THREE. L. A. Noir -- PART FOUR. Multicultural L.A. -- Conclusion -- Notes -- Index -- ABOUT THE AUTHOR
• Sommario/riassunto: Unlike the more forthrightly mythic origins of other urban centers-think Rome via Romulus and Remus or Mexico City via the god Huitzilopochtli-Los Angeles emerged from a smoke-and-mirrors process that is simultaneously literal and figurative, real and imagined, material and metaphorical, physical and textual. Through penetrating analysis and personal engagement, Vincent Brook uncovers the many portraits of this ever-enticing, ever-ambivalent, and increasingly multicultural megalopolis. Divided into sections that probe Los ; Angeles's checkered history and reflect on Hollywood's own self-reflections, the book shows how the city, despite considerable remaining challenges, is finally blowing away some of the smoke of its not always proud past and rhetorically adjusting its rear-view mirrors. Part I is a review of the city's history through the early 1900's, focusing on the seminal 1884 novel Ramona and its immediate effect, but also exploring its ongoing impact through interviews with present-day Tongva Indians, attendance at the 88th annual Ramona pageant, and analysis of its feature film adaptations. Brook deals with Hollywood as geographical site, film production center, and frame of mind in Part II. He charts the events leading up to Hollywood's emergence as the world's movie capital and explores subsequent developments of the film industry from its golden age through the so-called New Hollywood, citing such self-reflexive films as Sunset Blvd., Singin' in the Rain, and The Truman Show. Part III considers LA noir, a subset of film noir that emerged alongside the classical noir cycle in the 1940's and 1950's and continues today. The city's status as a privileged noir site is analyzed in relation to its history and through discussions of such key LA noir novels and films as Double Indemnity, Chinatown, and Crash. In Part IV, Brook examines multicultural Los Angeles. Using media texts as signposts, he maps the history and contemporary situation of the city's major ethno-racial and other minority groups, looking at such films as Mi Familia (Latinos), Boyz N the Hood (African Americans), Charlotte Sometimes (Asians), Falling Down (Whites), and The Kids Are All Right (LGBT).

Data Warehousing and Knowledge Discovery : 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings / / edited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß

• Record Nr.: UNINA9910767535603321
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
• ISBN: 3-540-45228-1
• Edizione: [1st ed. 2003.]
• Descrizione fisica: 1 online resource (XIV, 438 p.)
• Collana: Lecture Notes in Computer Science, , 0302-9743 ; ; 2737
• Disciplina: 005.7/4
• Soggetti: Computer science; Computer Science, general
• 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: Invited Talk -- XML for Data Warehousing Chances and Challenges -- Data Cubes and Queries -- CPM: A Cube Presentation Model for OLAP -- Computation of Sparse Data Cubes with Constraints -- Answering Joint Queries from Multiple Aggregate OLAP Databases -- An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy -- Multidimensional Data Model -- A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations -- The GMD Data Model for Multidimensional Information: A Brief Introduction -- An Application of Case-Based Reasoning in Multidimensional Database Architecture -- Web Warehousing -- MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems -- Designing Web Warehouses from XML Schemas -- Building XML Data Warehouse Based on Frequent Patterns in User Queries -- Change Detection -- A Temporal Study of Data Sources to Load a Corporate Data Warehouse -- Automatic Detection of Structural Changes in Data Warehouses -- Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin -- Web Mining and Association Rule -- Recent Developments in Web Usage Mining Research -- Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph -- ; Association Rules and Decision Trees -- Ordinal Association Rules towards Association Rules -- Rough Set Based Decision Tree Model for Classification -- Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes -- Generating Effective Classifiers with Supervised Learning of Genetic Programming -- Clustering I -- Clustering by Regression Analysis -- Handling Large Workloads by Profiling and Clustering -- Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering -- Clustering II -- On Complementarity of Cluster and Outlier Detection Schemes -- Cluster Validity Using Support Vector Machines -- FSSM: Fast Construction of the Optimized Segment Support Map -- Association Rule Mining -- Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited -- Parameterless Data Compression and Noise Filtering Using Association Rule Mining -- Performance Evaluation of SQL-OR Variants for Association Rule Mining -- Data Analysis and Discovery -- A Distance-Based Approach to Find Interesting Patterns -- Similarity Search in Structured Data -- Ontologies and Improving Data Quality -- Using an Interest Ontology for Improved Support in Rule Mining -- Fraud Formalization and Detection -- Combining Noise Correction with Feature Selection -- Queries and Data Patterns -- Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram -- Comprehensive Log Compression with Frequent Patterns -- Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations -- Improving Database Query Engine -- A New Computation Model for Rough Set Theory Based on Database Systems -- Computing SQL Queries with Boolean Aggregates -- Fighting Redundancy in SQL -- Sampling and Vector Classification -- “On-the-fly” VS Materialized Sampling and Heuristics -- Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003. The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification.