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Science And Technology Text Mining
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Book Synopsis Emerging Technologies of Text Mining: Techniques and Applications by : do Prado, Hercules Antonio
Download or read book Emerging Technologies of Text Mining: Techniques and Applications written by do Prado, Hercules Antonio and published by IGI Global. This book was released on 2007-10-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, it will provide libraries with the defining reference on this topic"--Provided by publisher.
Book Synopsis Handbook of Research on Text and Web Mining Technologies by : Song, Min
Download or read book Handbook of Research on Text and Web Mining Technologies written by Song, Min and published by IGI Global. This book was released on 2008-09-30 with total page 901 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines recent advances and surveys of applications in text and web mining which should be of interest to researchers and end-users alike.
Book Synopsis Mining Text Data by : Charu C. Aggarwal
Download or read book Mining Text Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2012-02-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Book Synopsis Mine Winding and Transport by : S.C. Walker
Download or read book Mine Winding and Transport written by S.C. Walker and published by Elsevier. This book was released on 2012-12-02 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Changes in size and power of available mining transport equipment, combined with improved means of control involving leaky feeder radio and computers, demands a new look at the problem of mine winding and transport. Such changes require the traditional mining engineer to have a much greater engineering application. This book is intended to satisfy that requirement.All the important means of transporting operatives and minerals are addressed, both below ground and on the surface. Safe, speedy and economic transport from the point of mineral extraction to leaving the mine is paramount. This work covers all aspects of the problem including: (1) the design and application of steel wire ropes to a variety of industrial applications, and the various drums and pulleys necessary; (2) a ready means of calculating output/throughput of various transport modes, and relating such to their power requirement; and (3) information on transport modes that enables the most suitable system for given conditions to be determined.A ``first principle'' approach has been adopted throughout, and extensive use of practical examples allows the solution of virtually all associated problems. Although formulae are used where necessary for an understanding of the content, the numerous tables included enable the practicing engineer to make short cuts to more quickly solve particular problems. In addition, the provision of a considerable number of operational constants, many not previously published, enable a more speedy and accurate solution to be effected. By comparing the calculated solutions to a particular problem, the most economic transport mode may be determined.Mining, mechanical and electrical engineers concerned with the safe movement of men or material will find this book of particular use, as will the student preparing for examinations on the subject.
Book Synopsis Multivariate Analysis of Data in Sensory Science by : T. Naes
Download or read book Multivariate Analysis of Data in Sensory Science written by T. Naes and published by Elsevier. This book was released on 1996-02-01 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis. The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques. Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.
Download or read book Tech Mining written by Alan L. Porter and published by John Wiley & Sons. This book was released on 2004-11-26 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tech Mining makes exploitation of text databases meaningful tothose who can gain from derived knowledge about emergingtechnologies. It begins with the premise that we have theinformation, the tools to exploit it, and the need for theresulting knowledge. The information provided puts new capabilities at the hands oftechnology managers. Using the material present, these managers canidentify and access the most valuable technology informationresources (publications, patents, etc.); search, retrieve, andclean the information on topics of interest; and lower the costsand enhance the benefits of competitive technological intelligenceoperations.
Book Synopsis Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by : Gary Miner
Download or read book Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications written by Gary Miner and published by Academic Press. This book was released on 2012-01-11 with total page 1096 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--
Book Synopsis Experimental Design by : S.N. Deming
Download or read book Experimental Design written by S.N. Deming and published by Elsevier. This book was released on 1987-01-01 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''. The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented. The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.
Book Synopsis Practical Data Analysis in Chemistry by : Marcel Maeder
Download or read book Practical Data Analysis in Chemistry written by Marcel Maeder and published by Elsevier. This book was released on 2007-08-10 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses. * Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes. * Provides examples of routines that are easily adapted to the processes investigated by the reader * 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered
Download or read book Working with Text written by Emma Tonkin and published by Elsevier. This book was released on 2016-07-14 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is text mining, and how can it be used? What relevance do these methods have to everyday work in information science and the digital humanities? How does one develop competences in text mining? Working with Text provides a series of cross-disciplinary perspectives on text mining and its applications. As text mining raises legal and ethical issues, the legal background of text mining and the responsibilities of the engineer are discussed in this book. Chapters provide an introduction to the use of the popular GATE text mining package with data drawn from social media, the use of text mining to support semantic search, the development of an authority system to support content tagging, and recent techniques in automatic language evaluation. Focused studies describe text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature. Interviews are included that offer a glimpse into the real-life experience of working within commercial and academic text mining. Introduces text analysis and text mining tools Provides a comprehensive overview of costs and benefits Introduces the topic, making it accessible to a general audience in a variety of fields, including examples from biology, chemistry, sociology, and criminology
Book Synopsis Data Fusion Methodology and Applications by : Marina Cocchi
Download or read book Data Fusion Methodology and Applications written by Marina Cocchi and published by Elsevier. This book was released on 2019-05-11 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery Includes comprehensible, theoretical chapters written for large and diverse audiences Provides a wealth of selected application to the topics included
Book Synopsis Text Data Management and Analysis by : ChengXiang Zhai
Download or read book Text Data Management and Analysis written by ChengXiang Zhai and published by Morgan & Claypool. This book was released on 2016-06-30 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Book Synopsis An Introduction to Text Mining by : Gabe Ignatow
Download or read book An Introduction to Text Mining written by Gabe Ignatow and published by SAGE Publications. This book was released on 2017-09-22 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to help with different forms of online research, from surveys to ethnographic interviews. But there is no textbook available that teaches students how to construct a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives. Gabe Ignatow and Rada F. Mihalcea's new text An Introduction to Text Mining will be a starting point for undergraduates and first-year graduate students interested in collecting and analyzing textual data from online sources, and will cover the most critical issues that students must take into consideration at all stages of their research projects, including: ethical and philosophical issues; issues related to research design; web scraping and crawling; strategic data selection; data sampling; use of specific text analysis methods; and report writing.
Book Synopsis Web Data Mining and the Development of Knowledge-Based Decision Support Systems by : Sreedhar, G.
Download or read book Web Data Mining and the Development of Knowledge-Based Decision Support Systems written by Sreedhar, G. and published by IGI Global. This book was released on 2016-12-21 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.
Book Synopsis Statistical Design - Chemometrics by : Roy E Bruns
Download or read book Statistical Design - Chemometrics written by Roy E Bruns and published by Elsevier. This book was released on 2006-01-27 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Design-Chemometrics is applicable to researchers and professionals who wish to perform experiments in chemometrics and carry out analysis of the data in the most efficient way possible. The language is clear, direct and oriented towards real applications. The book provides 106 exercises with answers to accompany the study of theoretical principles. Forty two cases studies with real data are presented showing designs and the complete statistical analyses for problems in the areas chromatography, electroanalytical and electrochemistry, calibration, polymers, gas adsorption, semiconductors, food technology, biotechnology, photochemistry, catalysis, detergents and ceramics. These studies serve as a guide that the reader can use to perform correct data analyses. -Provides 42 case studies containing step-by-step descriptions of calculational procedures that can be applied to most real optimization problems -Contains 106 theoretical exercises to test individual learning and to provide classroom exercises and material for written tests and exams -Written in a language that facilitates learning for physical and biological scientists and engineers -Takes a practical approach for those involved in industrial optimization problems
Book Synopsis Electrotechnology in Mining by : N. Marinovic
Download or read book Electrotechnology in Mining written by N. Marinovic and published by Elsevier. This book was released on 2012-12-02 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both mining and electrical engineers need to bear in mind the following specific requirements of electrical applications in mining. 1) Economy of electrical plant and equipment in relation to the cost price of the extracted mineral ores, governed by the specific exploitation conditions, 2) Reliability of electrical plant and equipment for extractive operations, operational efficiency, and plant and personnel safety. 3) Special safeguards to counteract the additional hazards posed by the use of electric power, and by electrical phenomena in general. The book has been written along these lines, dealing with those topics which highlight the aspects of electrical engineering of relevance for mining engineers and aspects of mining operations that electrical engineers need, to meet the above-mentioned basic requirements governing the introduction and use of electrical plants and systems in mines.This book is intended as a text book and will be of use to students, and colleges as well as to mining and electrical engineers.
Book Synopsis Science and Technology Text Mining by : Ronald N. Kostoff
Download or read book Science and Technology Text Mining written by Ronald N. Kostoff and published by . This book was released on 2003-08-01 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report shows how Database Tomography can be used to derive technical intelligence from the published literature. Database Tomography is a patented system for analyzing large amounts of textual computerized material. It includes algorithms for extracting multi-word phrase frequencies and performing phrase proximity analyses. Phrase frequency analysis provides the pervasive themes of a database, and phrase proximity analysis provides the relationships among the pervasive themes and between the pervasive themes and sub-themes. One potential application of Database Tomography is to obtain the thrusts and interrelationships of a technical field from papers published in the literature within that field. This report provides applications of Database Tomography to analyses of both the non-technical field of Research Impact Assessment (RIA) and the technical field of Chemistry. A database of relevant RIA articles was analyzed to produce characteristics and key features of the RIA field. The journals that carry the most RIA papers, the institutions most active in RIA, the keywords most often specified by the authors, and the authors whose works are cited most frequently are identified. The pervasive themes of RIA are identified through multi-word phrase analyses of the database, and the relationships among the pervasive themes and between the pervasive themes and sub-themes are identified through phrase proximity analyses. A similar process was applied to Chemistry, with the exception that the database was limited to one year's issues of the Journal of the American Chemical Society. Wherever possible, the RIA and Chemistry results were compared. Finally, the conceptual use of Database Tomography to help identify promising research directions is discussed. (11 refs.)
