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Mining and Communities in Northern Canada by Arn Keeling,John Sandlos Pdf
This collection examines historical and contemporary social, economic, and environmental impacts of mining on Aboriginal communities in northern Canada. Combining oral history research with intensive archival study, this work juxtaposes the perspectives of government and industry with the perspectives of local communities.
A riveting portrait of the cultural struggles and political conflicts of proposed copper-nickel mines in Minnesota’s Iron Range On an unseasonably warm October afternoon in Saint Paul, hundreds of people gathered to protest the construction of a proposed copper-nickel mine in the rural northern part of their state. The crowd eagerly listened to speeches on how the project would bring long-term risks and potentially pollute the drinking water for current and future generations. A year later, another proposed mining project became the subject of a public hearing in a small town near the proposed site. But this time, local politicians and union leaders praised the mine proposal as an asset that would strengthen working-class communities in Minnesota. In many rural American communities, there is profound tension around the preservation and protection of wilderness and the need to promote and profit from natural resources. In Mining the Heartland, Erik Kojola looks at both sides of these populist movements and presents a thoughtful account of how such political struggles play out. Drawing on over a hundred ethnographic interviews with people of the region, from members of labor unions to local residents to scientists, Kojola is able to bring this complex struggle over mining to life. Focusing on both pro- and anti-mining groups, he expands upon what this conflict reveals about the way whiteness and masculinity operate among urban and rural residents, and the different ways in which class, race, and gender shape how people relate to the land. Mining the Heartland shows the negotiation and conflict between two central aspects of the state's culture and economy: outdoor recreation in the Land of Ten Thousand Lakes and the lucrative mining of the Iron Range.
Managing and Mining Uncertain Data by Charu C. Aggarwal Pdf
Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.
Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas Pdf
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
Author : John R. McNeill,George Vrtis Publisher : Univ of California Press Page : 456 pages File Size : 41,9 Mb Release : 2017-07-03 Category : History ISBN : 9780520966536
Mining North America by John R. McNeill,George Vrtis Pdf
Over the past five hundred years, North Americans have increasingly relied on mining to produce much of their material and cultural life. From cell phones and computers to cars, roads, pipes, pans, and even wall tile, mineral-intensive products have become central to North American societies. As this process has unfolded, mining has also indelibly shaped the natural world and the human societies within it. Mountains have been honeycombed, rivers poisoned, forests leveled, and the consequences of these environmental transformations have fallen unevenly across North America. Drawing on the work of scholars from Mexico, the United States, and Canada, Mining North America examines these developments. It covers an array of minerals and geographies while bringing mining into the core debates that animate North American environmental history. Taken all together, the essays in this book make a powerful case for the centrality of mining in forging North American environments and societies.
Geographies of Post-Industrial Place, Memory, and Heritage by Mark Alan Rhodes II,William R. Price,Amy Walker Pdf
All industrialization is deeply rooted within the specific geographies in which it took place, and echoes of previous industrialization continue to reverberate in these places through to the modern day. This book investigates the overlap of memory and the impacts of industrialization within today’s communities and the senses of place and heritage that grew alongside and in reaction to the growth of mines, mills, and factories. The economic and social change that accompanied the unchecked accumulation of wealth and exploitation of labor as the industrial revolution spread throughout the world has numerous lasting impacts on the socioeconomics of today. Likewise, the planet itself is now reeling. The memory and heritage of these processes reach into the communities that owe the industrial revolution their existence, but these populations also often suffered adverse impacts to their health and environment through the large-scale and rapid extraction of natural resources and production of goods. Through the themes of memory, community, and place; working post-industrial landscapes; and the de-romanticization of industrial pasts, this book examines the endurance and decline of these communities, the spatial processes of industrial byproducts, and the memory and heritage of industrialization and its legacies. While based in the traditions of geography, this collection also draws upon and will be of great interest to students and scholars of cultural anthropology, archaeology, sociology, history, architecture, civil engineering, and heritage, memory, museum, and tourism studies. Using global examples, the authors provide a uniquely geographic understanding to industrial heritage across the spaces, places, and memories of industrial development.
Advanced Data Mining and Applications by Xudong Luo,Jeffrey Xu Yu,Zhi Li Pdf
This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.
Advances in Knowledge Discovery and Data Mining by Honghua Dai,Ramakrishnan Srikant,Chengqi Zhang Pdf
This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.
Advances in Mining Graphs, Trees and Sequences by Takashi Washio,Joost N. Kok,Luc de Raedt Pdf
Ever since the early days of machine learning and data mining, it has been realized that the traditional attribute-value and item-set representations are too limited for many practical applications in domains such as chemistry, biology, network analysis and text mining. This has triggered a lot of research on mining and learning within alternative and more expressive representation formalisms such as computational logic, relational algebra, graphs, trees and sequences. The motivation for using graphs, trees and sequences. Is that they are 1) more expressive than flat representations, and 2) potentially more efficient than multi-relational learning and mining techniques. At the same time, the data structures of graphs, trees and sequences are among the best understood and most widely applied representations within computer science. Thus these representations offer ideal opportunities for developing interesting contributions in data mining and machine learning that are both theoretically well-founded and widely applicable. The goal of this book is to collect recent outstanding studies on mining and learning within graphs, trees and sequences in studies worldwide.
High-Utility Pattern Mining by Philippe Fournier-Viger,Jerry Chun-Wei Lin,Roger Nkambou,Bay Vo,Vincent S. Tseng Pdf
This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.
Mining the Home Movie by Karen L. Ishizuka,Patricia Rodden Zimmermann Pdf
Features essays that combine research, critical analyses and theoretical approaches regarding the meaning and value of amateur and archival films. This book identifies home movies as methods of visually preserving history. It defines a genre of film studies and establishes the home movie as a tool for extracting historical and social insights.
In today's competitive market, experience alone is not enough--job seekers must stand-out and be able to sell themselves in resumes and interviews. Memory Mining provides that necessary tool for digging out gems from past good work then helps refine and polish those into quality usable nuggets which communicate value to an employer.
Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf
This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX by Abdelkader Hameurlain,Roland Wagner,Djamal Benslimane,Ernesto Damiani,William I. Grosky Pdf
This, the 39th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of seven papers selected from the 37 contributions presented at the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, in August 2017. Topics covered include knowledge bases, clustering algorithms, parallel frequent itemset mining, model-driven engineering, virtual machines, recommendation systems, and federated SPARQL query processing.