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A no-nonsense guide to the ever-evolving tools of social media, this handbook details the nuts and bolts of the open-source internet by using real-world examples with dozens of screen shots for each subject. The companion CD provides links to resources, and directories of social websites in addition to forms and worksheets designed to map social media strategies. This practical, hands-on introduction to social media tools such as Facebook, YouTube, and Twitter helps grow brand recognition, improve and expand sales, and increase profits for business owners, professionals, musicians, and artists alike.
Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater
Manifestations of Masculine Magnificence: Divinity in Africana Life, Lyrics, and Literature is a remarkable study and the first of its kind. Teresa N. Washington eschews popular culture’s pimp myths and thug sagas and traces the Africana man’s power, creativity, and consciousness to his inherent divinity. Manifestations of Masculine Magnificence takes the reader to the source of power with an analysis of African Divinities and divine technologies. Washington explores the permanence and proliferation of African Gods from oppressive plantations to the empowering proclamations of such leaders as W. D. Fard, Marcus Garvey, Father Divine, and Allah, the Father. Washington analyzes the summons...
At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.
In this day and age when the sports pages of the local newspaper read like either a police report or a pharmacology text, it is impossible not to conclude that the mantra of winning has entered very dangerous ground. This book not only details these abuses and the dangers of the drugs themselves, but also addresses the misguided coaches, fialed mentors, and poor role models who have contributed to the decline of the sports-for-sports sake mentalitly.
This expose investigates the evolution of the Almighty Black P Stone Nation, a motley group of poverty-stricken teens transformed into a dominant gang accused of terroristic intentions. Interwoven into the narrative is the dynamic influence of leader Jeff Fort, who--despite his flamboyance and high visibility--instilled a rigid structure and discipline that afforded the young men a refuge and a sense of purpose in an often hopeless community. Details of how the Nation procured government funding for gang-related projects during the War on Poverty era and fueled bonuses and job security for law enforcement, and how Fort, in particular, masterminded a deal for $2.5 million to commit acts of terrorism in the United States on behalf of Libya are also revealed. In examining whether the Black P Stone Nation was a group of criminals, brainwashed terrorists, victims of their circumstances, or champions of social change, this social history provides an exploration of how and why gangs flourish and insight into the way in which minority crime is targeted in the community, reported in the media, and prosecuted in the courts.
Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications. The first part of the book explains the historical origins of correspondence analysis and associated methods. The second part concentrates on the contributions made by the school of Jean-Paul Benzécri and related movements, such as social space and geometric data analysis. Although these topics are viewed from a French perspective, the book makes them understandable to an international audience. Throughout the text, well-known experts illustrate the use of the methods in practice. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, different possibilities of recoding data prior to visualization, and the application of duality diagram theory to the analysis of a contingency table.
This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background". The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis". This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availab...
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel ap...
"Over the last 60 years, more has been done in Oakland to reform policing than any other American city-and yet, Oakland has failed to reign in the tendencies of its police to prey upon, rather than protect, its communities. Why is this, and what does it mean both for Oakland, and for America? THE RIDERS COME OUT AT NIGHT will be the first authoritative account of the Oakland Police Department's troubling history of violence, secrecy, and mismanagement, and the city's unfulfilled promise to implement constitutional policing. By examining cases of police violence and corruption in one of America's most iconic cities, the Polk Award-winning investigative duo, Ali Winston & Darwin BondGraham, il...