Download or read book Computational Intelligence in Archaeology written by Barcelo, Juan A. and published by IGI Global. This book was released on 2008-07-31 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides analytical theories offered by innovative artificial intelligence computing methods in the archaeological domain.
Download or read book Statistics in Archaeology written by Michael Baxter and published by Wiley. This book was released on 2010-05-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics in Archaeology' presents the particular statistical methodologies which can be used to address specific issues and problems in archaeology. Through in-depth case studies, the author illustrates how such techniques can be employed in the archaeological context. These examples are taken from a wide range of different countries and reflect the international nature of archaeology, and its students and practitioners. The technical level of the book is intermediate and is for the academic and professional archaeologist needing to know more about the statistical techniques available to them. The structure and content of the book mean that it will also appeal to applied statisticians interested in how statistical methods can be used in different application areas.
Download or read book Computing the Past written by Jens Andresen and published by Aarhus Universitetsforlag. This book was released on 1993 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study illustrating the use of computer applications and quantitative methods in archaeology.
Download or read book Data Processing in Archaeology written by J. D. Richards and published by CUP Archive. This book was released on 1985-05-02 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to give archaeologists a non-technical but thorough grounding in the use of computers.
Download or read book Mathematics and Computers in Archaeology written by J. E. Doran and published by Harvard University Press. This book was released on 1975 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for students and practitioners of archaeology. It offers an introductory survey of all the applications of mathematical and statistical techniques to their work. These applications are increasingly concerned with computerized data classification and quantification, and their effect is to reduce the level of uncertainty in the interpretation of the evidence that time and chance have left. Any archaeologist wanting to find out what these new methods have to offer has hitherto been forced to search for information in the specialist handbooks, conference proceedings, and review articles of his own, and very often of other, disciplines. This book brings the information conveniently together, so far as it pertains to archaeology, and permits an assessment of its relevance and quality. Those who have been daunted by the specialist knowledge apparently demanded will now be able to acquire a thorough grasp of principles and practices. Only an elementary knowledge of mathematics is presumed throughout. Part 1 provides a brief introduction to basic concepts in archaeology and mathematics. Part 2 relates the standard archaeological techniques and procedures to mathematics; it concentrates on numerical approaches best suited to archaeological practices. Part 3 examines various automatic seriation techniques and discusses further work that is coming to play an essential part in the development of archaeology.
Download or read book Statistics for Archaeologists written by Robert D. Drennan and published by Springer Science & Business Media. This book was released on 2009-08-11 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the decade since its publication, the first edition of Statistics for Archaeologists has become a staple in the classroom. Taking a jargon-free approach, this teaching tool introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-illustrated guide features several practice problems making it an ideal text for students in archaeology and anthropology. Using feedback from students and teachers who have been using the first edition, as well as another ten years of personal experience with the text, the author has provided an updated and revised second edition with a number of important changes. New topics covered include: -Proportions and Densities -Error Ranges for Medians -Resampling Approaches -Residuals from Regression -Point Sampling -Multivariate Analysis -Similarity Measures -Multidimensional Scaling -Principal Components Analysis -Cluster Analysis Those already familiar with the clear and useful format of Statistics for Archaeologists will find this new edition a welcome update, and the new sections will make this seminal textbook an indispensible resource for a whole new group of students, professors, and practitioners.
Download or read book Statistics and Computing in Archaeology with Particular Regard to the Problem of Seriation written by Jane Restorick and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quantitative Methods in Archaeology Using R written by David L. Carlson and published by Cambridge University Press. This book was released on 2017-06-26 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first step-by-step guide to the quantitative analysis of archaeological data using the R statistical computing system.
Download or read book Computing for Archaeologists written by Seamus Ross and published by Oxford University School of Archaeology. This book was released on 1991 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eleven papers giving advice on computer applications, based on lectures given at the Institute of Archaeology in Oxford. Contents: Introduction (S Ross), approaches and applications, past and present (J Moffett), systems engineering (S Ross), introduction to statistics (G Lock), analysing information for database design(L Burnard), database fundamentals (D Smith), advancing graphic systems (P Reilly), Heslerton Parish post-excavation project (D Powlesland), post-excavation interpretation (J Richards), post-excavation and publication in London (T Williams), use and abuse (J Henderson). Previously announced, now available.
Download or read book Computing and statistics in archaeology written by Gary R. Lock and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learners written by Adrian Mackenzie and published by MIT Press. This book was released on 2017-11-16 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.
Download or read book Strategies for Quantitative Research written by Grant S. McCall and published by Routledge. This book was released on 2018-02-15 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is little secret that most archaeologists are uneasy with statistics. Thankfully, in the modern world, quantitative analysis has been made immensely easier by statistical software packages. Software now does virtually all our statistical calculations, removing a great burden for researchers. At the same time, since most statistical analysis now takes place through the pushing of buttons in software packages, new problems and dangers have emerged. How does one know which statistical test to use? How can one tell if certain data violate the assumptions of a particular statistical analysis? Rather than focusing on the mathematics of calculation, this concise handbook selects appropriate forms of analysis and explains the assumptions that underlie them. It deals with fundamental issues, such as what kinds of data are common in the field of archaeology and what are the goals of various forms of analysis. This accessible textbook lends a refreshing playfulness to an often-humorless subject and will be enjoyed by students and professionals alike.
Download or read book Computational Approaches to Archaeological Spaces written by Andrew Bevan and published by Routledge. This book was released on 2016-06-16 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of original chapters written by experts in the field offers a snapshot of how historical built spaces, past cultural landscapes, and archaeological distributions are currently being explored through computational social science. It focuses on the continuing importance of spatial and spatio-temporal pattern recognition in the archaeological record, considers more wholly model-based approaches that fix ideas and build theory, and addresses those applications where situated human experience and perception are a core interest. Reflecting the changes in computational technology over the past decade, the authors bring in examples from historic and prehistoric sites in Europe, Asia, and the Americas to demonstrate the variety of applications available to the contemporary researcher.
Download or read book Using Computers in Archaeology written by Gary R. Lock and published by Psychology Press. This book was released on 2003 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive review of computer applications in archaeology from the archaeologist's perspective. The book deals with all aspects of the discipline, from survey and excavation to museums and education.
Download or read book Big Data and Archaeology written by François Djindjian and published by Archaeopress Publishing Ltd. This book was released on 2021-08-05 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of Big Data is a recent and debated issue in Digital Archaeology. Papers consider the historiographic context and current developments, as well as comprehensive examples of a multidisciplinary and integrative approach to the recording, management and exploitation of excavation data and documents produced over a long period of research.
Download or read book Computational and Machine Learning Tools for Archaeological Site Modeling written by Maria Elena Castiello and published by Springer Nature. This book was released on 2022-01-24 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions (Zurich, Aargau, Grisons, Vaud, Geneva and Fribourg) have been analyzed with an original conceptual framework based on the Random Forest algorithm. It is shown how the algorithm can assist in the modelling process in connection with heterogeneous, incomplete archaeological datasets and related cultural heritage information. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book guides the readers to set up their own protocol for: i) dealing with uncertain data, ii) predicting archaeological site location, iii) establishing environmental features importance, iv) and suggest a model validation procedure. It addresses both academics and professionals in archaeology and cultural heritage management, and offers a source of inspiration for future research directions in the field of digital humanities and computational archaeology.
Download or read book Mathematics and Archaeology written by Juan A. Barcelo and published by CRC Press. This book was released on 2015-06-08 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data mining, more literature is needed about the advanced analysis in these areas. This book aids archaeologists in learning more advanced tools and methods while also helping mathematicians, statisticians, and computer
