Mining Language

Author : Allison Margaret Bigelow
Publisher : UNC Press Books
Page : 377 pages
File Size : 50,8 Mb
Release : 2020-04-16
Category : History
ISBN : 9781469654393

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Mining Language by Allison Margaret Bigelow Pdf

Mineral wealth from the Americas underwrote and undergirded European colonization of the New World; American gold and silver enriched Spain, funded the slave trade, and spurred Spain's northern European competitors to become Atlantic powers. Building upon works that have narrated this global history of American mining in economic and labor terms, Mining Language is the first book-length study of the technical and scientific vocabularies that miners developed in the sixteenth and seventeenth centuries as they engaged with metallic materials. This language-centric focus enables Allison Bigelow to document the crucial intellectual contributions Indigenous and African miners made to the very engine of European colonialism. By carefully parsing the writings of well-known figures such as Cristobal Colon and Gonzalo Fernandez de Oviedo y Valdes and lesser-known writers such Alvaro Alonso Barba, a Spanish priest who spent most of his life in the Andes, Bigelow uncovers the ways in which Indigenous and African metallurgists aided or resisted imperial mining endeavors, shaped critical scientific practices, and offered imaginative visions of metalwork. Her creative linguistic and visual analyses of archival fragments, images, and texts in languages as diverse as Spanish and Quechua also allow her to reconstruct the processes that led to the silencing of these voices in European print culture.

Author : Anne Kao,Steve R. Poteet
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 52,6 Mb
Release : 2007-03-06
Category : Computers
ISBN : 9781846287541

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Natural Language Processing and Text Mining by Anne Kao,Steve R. Poteet Pdf

Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.

Author : Bing Liu
Publisher : Springer Nature
Page : 167 pages
File Size : 46,7 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031021459

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Sentiment Analysis and Opinion Mining by Bing Liu Pdf

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography

Author : Julia Silge,David Robinson
Publisher : "O'Reilly Media, Inc."
Page : 193 pages
File Size : 54,8 Mb
Release : 2017-06-12
Category : Computers
ISBN : 9781491981627

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Text Mining with R by Julia Silge,David Robinson Pdf

Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

Author : Bogumil Kaminski,Pawel Prałat,Francois Theberge
Publisher : CRC Press
Page : 278 pages
File Size : 45,9 Mb
Release : 2021-12-15
Category : Mathematics
ISBN : 9781000515855

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Mining Complex Networks by Bogumil Kaminski,Pawel Prałat,Francois Theberge Pdf

This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable knowledge from large data sets. Once data is processed and cleaned, it is analyzed and presented to support decision-making processes. Data science and machine learning tools have become widely used in companies of all sizes. Networks are often large-scale, decentralized, and evolve dynamically over time. Mining complex networks aim to understand the principles governing the organization and the behavior of such networks is crucial for a broad range of fields of study. Here are a few selected typical applications of mining networks: Community detection (which users on some social media platforms are close friends). Link prediction (who is likely to connect to whom on such platforms). Node attribute prediction (what advertisement should be shown to a given user of a particular platform to match their interests). Influential node detection (which social media users would be the best ambassadors of a specific product). This textbook is suitable for an upper-year undergraduate course or a graduate course in programs such as data science, mathematics, computer science, business, engineering, physics, statistics, and social science. This book can be successfully used by all enthusiasts of data science at various levels of sophistication to expand their knowledge or consider changing their career path. Jupiter notebooks (in Python and Julia) accompany the book and can be accessed on https://www.ryerson.ca/mining-complex-networks/. These not only contain all the experiments presented in the book, but also include additional material. Bogumił Kamiński is the Chairman of the Scientific Council for the Discipline of Economics and Finance at SGH Warsaw School of Economics. He is also an Adjunct Professor at the Data Science Laboratory at Ryerson University. Bogumił is an expert in applications of mathematical modeling to solving complex real-life problems. He is also a substantial open-source contributor to the development of the Julia language and its package ecosystem. Paweł Prałat is a Professor of Mathematics in Ryerson University, whose main research interests are in random graph theory, especially in modeling and mining complex networks. He is the Director of Fields-CQAM Lab on Computational Methods in Industrial Mathematics in The Fields Institute for Research in Mathematical Sciences and has pursued collaborations with various industry partners as well as the Government of Canada. He has written over 170 papers and three books with 130 plus collaborators. François Théberge holds a B.Sc. degree in applied mathematics from the University of Ottawa, a M.Sc. in telecommunications from INRS and a PhD in electrical engineering from McGill University. He has been employed by the Government of Canada since 1996 where he was involved in the creation of the data science team as well as the research group now known as the Tutte Institute for Mathematics and Computing. He also holds an adjunct professorial position in the Department of Mathematics and Statistics at the University of Ottawa. His current interests include relational-data mining and deep learning.

Author : Mehmed Kantardzic
Publisher : John Wiley & Sons
Page : 554 pages
File Size : 42,7 Mb
Release : 2011-08-04
Category : Computers
ISBN : 9781118029138

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Data Mining by Mehmed Kantardzic Pdf

This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades. If you are an instructor or professor and would like to obtain instructor’s materials, please visit http://booksupport.wiley.com If you are an instructor or professor and would like to obtain a solutions manual, please send an email to: [email protected]

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2120 pages
File Size : 42,5 Mb
Release : 2012-11-30
Category : Computers
ISBN : 9781466624566

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Data Mining: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Author : Zhi-Hua Zhou,Hang Li,Qiang Yang
Publisher : Springer
Page : 1161 pages
File Size : 40,6 Mb
Release : 2007-06-21
Category : Computers
ISBN : 9783540717010

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Advances in Knowledge Discovery and Data Mining by Zhi-Hua Zhou,Hang Li,Qiang Yang Pdf

This book constitutes the refereed proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China, May 2007. It covers new ideas, original research results and practical development experiences from all KDD-related areas including data mining, machine learning, data warehousing, data visualization, automatic scientific discovery, knowledge acquisition and knowledge-based systems.

Author : VIGNESH RAMAMOORTHY H
Publisher : BookRix
Page : 95 pages
File Size : 51,8 Mb
Release : 2019-11-28
Category : Technology & Engineering
ISBN : 9783748722182

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Fuzzy C-mean Clustering using Data Mining by VIGNESH RAMAMOORTHY H Pdf

The goal of traditional clustering is to assign each data point to one and only one cluster. In contrast, fuzzy clustering assigns different degrees of membership to each point. The membership of a point is thus shared among various clusters. This creates the concept of fuzzy boundaries which differs from the traditional concept of well-defined boundaries. In hard clustering, data is divided into distinct clusters, where each data element belongs to exactly one cluster. In fuzzy clustering (also referred to as soft clustering), data elements can belong to more than one cluster, and associated with each element is a set of membership levels. These indicate the strength of the association between that data element and a particular cluster. Fuzzy clustering is a process of assigning these membership levels, and then using them to assign data elements to one or more clusters. This algorithm uses the FCM traditional algorithm to locate the centers of clusters for a bulk of data points. The potential of all data points is being calculated with respect to specified centers. The availability of dividing the data set into large number of clusters will slow the processing time and needs more memory size for the program. Hence traditional clustering should device the data to four clusters and each data point should be located in one specified cluster .Imprecision in data and information gathered from and about our environment is either statistical(e.g., the outcome of a coin toss is a matter of chance) or no statistical (e.g., “apply the brakes pretty soon”). Many algorithms can be implemented to develop clustering of data sets. Fuzzy C-mean clustering (FCM) is efficient and common algorithm. We are tuning this algorithm to get a solution for the rest of data point which omitted because of its farness from all clusters. To develop a high performance algorithm that sort and group data set in variable number of clusters to use this data in control and managing of those clusters.

Author : John Sandlos,Arn Keeling
Publisher : James Lorimer & Company
Page : 226 pages
File Size : 43,9 Mb
Release : 2021-09-07
Category : Business & Economics
ISBN : 9781459413535

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Mining Country by John Sandlos,Arn Keeling Pdf

Mining has had a significant presence in every part of Canada — from the east to west coasts to the far north. This book tells the stories of those who built Canada’s mining industry. It highlights the experiences of the people who lived and worked in mining towns across the country, the rise of major mining companies, and the emergence of Toronto and Vancouver as centres of global mining finance. It also addresses the devastating effects mining has had on Indigenous communities and their land and documents several high-profile resistance efforts. Mining Country presents fascinating snapshots of Canadian mining past and present, from pre-contact Indigenous copper mining and trading networks to the famous Cariboo and Klondike Gold Rushes. Generously illustrated with more than 150 visuals drawn from every period of mining history, this book offers a thorough account of the story behind the industry.

Author : Dr.V.Vijayalakshmi,Mr.R.Senthamizh Selvan
Publisher : SK Research Group of Companies
Page : 161 pages
File Size : 40,7 Mb
Release : 2023-05-24
Category : Computers
ISBN : 9789395341752

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ADVANCED DATA MINING by Dr.V.Vijayalakshmi,Mr.R.Senthamizh Selvan Pdf

Dr.V.Vijayalakshmi, Assistant Professor & Head, PG & Research Department of Computer Science, Government Arts College, Ariyalur, Tamil Nadu, India. Mr.R.Senthamizh Selvan, Assistant Professor, PG & Research Department of Computer Science, Government Arts College, Ariyalur, Tamil Nadu, India.

Author : Laleh Jalali,Ramesh Jain
Publisher : Morgan & Claypool
Page : 162 pages
File Size : 53,9 Mb
Release : 2021-05-21
Category : Computers
ISBN : 9781450384858

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Event Mining for Explanatory Modeling by Laleh Jalali,Ramesh Jain Pdf

This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used as the basis for predictions and corrective actions. The idea is to create, via an iterative process, a model that explains causal relationships in the form of structural and temporal patterns in the data. The first phase is the data-driven process of hypothesis formation, requiring the analysis of large amounts of data to find strong candidate hypotheses. The second phase is hypothesis testing, wherein a domain expert’s knowledge and judgment is used to test and modify the candidate hypotheses. The book is intended as a primer on Event Mining for data-enthusiasts and information professionals interested in employing these event-based data analysis techniques in diverse applications. The reader is introduced to frameworks for temporal knowledge representation and reasoning, as well as temporal data mining and pattern discovery. Also discussed are the design principles of event mining systems. The approach is reified by the presentation of an event mining system called EventMiner, a computational framework for building explanatory models. The book contains case studies of using EventMiner in asthma risk management and an architecture for the objective self. The text can be used by researchers interested in harnessing the value of heterogeneous big data for designing explanatory event-based models in diverse application areas such as healthcare, biological data analytics, predictive maintenance of systems, computer networks, and business intelligence.

Author : Jan Zytkow,Jan Rauch
Publisher : Springer Science & Business Media
Page : 608 pages
File Size : 50,6 Mb
Release : 1999-09-01
Category : Computers
ISBN : 9783540664901

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Principles of Data Mining and Knowledge Discovery by Jan Zytkow,Jan Rauch Pdf

This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.

Author : W. A. Hustrulid,Richard L. Bullock
Publisher : SME
Page : 736 pages
File Size : 49,9 Mb
Release : 2001
Category : Technology & Engineering
ISBN : 9780873351935

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Underground Mining Methods by W. A. Hustrulid,Richard L. Bullock Pdf

Underground Mining Methods presents the latest principles and techniques in use today. Reflecting the international and diverse nature of the industry, a series of mining case studies is presented covering the commodity range from iron ore to diamonds extracted by operations located in all corners of the world. Industry experts have contributed 77 chapters. This book is certain to become a standard for every practicing mining engineer and student alike. Sections include: General Mine Design Considerations, Room-and-Pillar Mining of Hard Rock/Soft Rock, Longwall Mining of Hard Rock, Shrinkage Stoping, Sublevel Stoping, Cut-and-Fill Mining, Sublevel Caving, Panel Caving, Foundations for Design, and Underground Mining Looks to the Future.

Author : United States. Congress. Senate. Committee on Energy and Natural Resources. Subcommittee on Mineral Resources Development and Production
Publisher : Unknown
Page : 180 pages
File Size : 51,9 Mb
Release : 1991
Category : Mineral industries
ISBN : PSU:000019818467

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Mining Law Reform Act of 1991 and the Minerals Policy Review Commission Act of 1991 by United States. Congress. Senate. Committee on Energy and Natural Resources. Subcommittee on Mineral Resources Development and Production Pdf