Understanding Complex Datasets
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Understanding Complex Datasets
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Author : David Skillicorn
language : en
Publisher: CRC Press
Release Date : 2007-05-17
Understanding Complex Datasets written by David Skillicorn and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-17 with Computers categories.
Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas. Without having to understand every mathematical detail, the book helps you determine which matrix is appropriate for your dataset and what the results mean. Explaining the effectiveness of matrices as data analysis tools, the book illustrates the ability of matrix decompositions to provide more powerful analyses and to produce cleaner data than more mainstream techniques. The author explores the deep connections between matrix decompositions and structures within graphs, relating the PageRank algorithm of Google's search engine to singular value decomposition. He also covers dimensionality reduction, collaborative filtering, clustering, and spectral analysis. With numerous figures and examples, the book shows how matrix decompositions can be used to find documents on the Internet, look for deeply buried mineral deposits without drilling, explore the structure of proteins, detect suspicious emails or cell phone calls, and more. Concentrating on data mining mechanics and applications, this resource helps you model large, complex datasets and investigate connections between standard data mining techniques and matrix decompositions.
Complex Datasets And Inverse Problems
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Author : Regina Y. Liu
language : en
Publisher: IMS
Release Date : 2007
Complex Datasets And Inverse Problems written by Regina Y. Liu and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computer networks categories.
This e-book is the product of Project Euclid and its mission to advance scholarly communication in the field of theoretical and applied mathematics and statistics. Project Euclid was developed and deployed by the Cornell University Library and is jointly managed by Cornell and the Duke University Press.
From Theory To Practice Machine Learning Techniques For Clustering And Segmentation In Data Science For Engineers
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Author : Thiago Jace
language : en
Publisher:
Release Date : 2023-12-09
From Theory To Practice Machine Learning Techniques For Clustering And Segmentation In Data Science For Engineers written by Thiago Jace and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-09 with categories.
Understanding the Importance of Clustering and Segmentation in Data ScienceIn the ever-evolving field of data science, engineers are constantly seeking innovative techniques to extract meaningful insights from vast amounts of data. One such technique that has gained significant popularity is clustering and segmentation. In this subchapter, we will dive deep into the importance of clustering and segmentation in data science and its applications within the niche of machine learning for data science. Clustering, in its essence, involves grouping similar data points together based on their inherent characteristics. By identifying patterns and relationships among data points, clustering enables engineers to uncover hidden structures within the data, leading to valuable insights. With the ability to handle large datasets efficiently, clustering has become an indispensable tool for engineers working on data science projects. Segmentation, on the other hand, takes clustering a step further by partitioning data into distinct subsets or segments. This process allows engineers to understand the heterogeneous nature of the data and tailor their analysis and decision-making accordingly. By segmenting data, engineers are able to identify specific target groups, understand their unique preferences, and devise personalized strategies that drive business growth and enhance customer satisfaction. The importance of clustering and segmentation in data science cannot be overstated. These techniques enable engineers to gain a comprehensive understanding of complex datasets, identify trends, and make data-driven decisions with confidence. Whether it is customer segmentation for targeted marketing campaigns, anomaly detection in cybersecurity, or analyzing patterns in healthcare data, clustering and segmentation play a vital role in extracting valuable insights that drive business success. Furthermore, with the advent of machine learning algorithms and techniques, clustering and segmentation have witnessed significant advancements. Engineers can now employ sophisticated algorithms such as k-means, hierarchical clustering, and density-based clustering to achieve more accurate results and handle complex datasets effectively. These advancements have opened up new avenues for innovation and application of clustering and segmentation techniques in various industries, including finance, healthcare, retail, and more.
Learning From Complex Datasets
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Author : Geoffrey J. McLachlan
language : en
Publisher: Wiley-Blackwell
Release Date : 2012-02-24
Learning From Complex Datasets written by Geoffrey J. McLachlan and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-24 with categories.
This book provides insight and advice on the most appropriate and effective statistical methods to employ when using large or robust data. It covers the handling of high-dimensional data and data in which there is bias in the type collected and presents applications in modern and molecular genetics to showcase the most challenging datasets. In addition, it features full-color art throughout the book to illustrate the importance of color in data understanding and interpretation and offers access to a dedicated author web site.
Making Sense Of Large Datasets In The Context Of Complex Situation Understanding
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Author : Marielle Mokhtan
language : en
Publisher:
Release Date : 2013
Making Sense Of Large Datasets In The Context Of Complex Situation Understanding written by Marielle Mokhtan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Data Mining In Large Sets Of Complex Data
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Author : Robson Leonardo Ferreira Cordeiro
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-11
Data Mining In Large Sets Of Complex Data written by Robson Leonardo Ferreira Cordeiro and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-11 with Computers categories.
The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation? Can it be made automatically? Based on the work discussed in this book, the answers to both questions are a sound “yes”, and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation.
The Focal Encyclopedia Of Photography
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Author : Michael R. Peres
language : en
Publisher: Taylor & Francis
Release Date : 2013-05-29
The Focal Encyclopedia Of Photography written by Michael R. Peres and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-29 with Photography categories.
*Searchable CD ROM containing the entire book (including images) *Over 450 color images, plus never before published images provided by the George Eastman House collection, as well as images from Ansel Adams, Howard Schatz, and Jerry Uelsmann to name just a few The role and value of the picture cannot be matched for accuracy or impact. This comprehensive treatise, featuring the history and historical processes of photography, contemporary applications, and the new and evolving digital technologies, will provide the most accurate technical synopsis of the current, as well as early worlds of photography ever compiled. This Encyclopedia, produced by a team of world renown practicing experts, shares in highly detailed descriptions, the core concepts and facts relative to anything photographic. This Fourth edition of the Focal Encyclopedia serves as the definitive reference for students and practitioners of photography worldwide, expanding on the award winning 3rd edition. In addition to Michael Peres (Editor in Chief), the editors are: Franziska Frey (Digital Photography), J. Tomas Lopez (Contemporary Issues), David Malin (Photography in Science), Mark Osterman (Process Historian), Grant Romer (History and the Evolution of Photography), Nancy M. Stuart (Major Themes and Photographers of the 20th Century), and Scott Williams (Photographic Materials and Process Essentials)
Handbook Of Human Factors For Automated Connected And Intelligent Vehicles
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Author : Donald L. Fisher
language : en
Publisher: CRC Press
Release Date : 2020-05-31
Handbook Of Human Factors For Automated Connected And Intelligent Vehicles written by Donald L. Fisher and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-31 with Computers categories.
Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles Subject Guide: Ergonomics & Human Factors Automobile crashes are the seventh leading cause of death worldwide, resulting in over 1.25 million deaths yearly. Automated, connected, and intelligent vehicles have the potential to reduce crashes significantly, while also reducing congestion, carbon emissions, and increasing accessibility. However, the transition could take decades. This new handbook serves a diverse community of stakeholders, including human factors researchers, transportation engineers, regulatory agencies, automobile manufacturers, fleet operators, driving instructors, vulnerable road users, and special populations. It provides information about the human driver, other road users, and human–automation interaction in a single, integrated compendium in order to ensure that automated, connected, and intelligent vehicles reach their full potential. Features Addresses four major transportation challenges—crashes, congestion, carbon emissions, and accessibility—from a human factors perspective Discusses the role of the human operator relevant to the design, regulation, and evaluation of automated, connected, and intelligent vehicles Offers a broad treatment of the critical issues and technological advances for the designing of transportation systems with the driver in mind Presents an understanding of the human factors issues that are central to the public acceptance of these automated, connected, and intelligent vehicles Leverages lessons from other domains in understanding human interactions with automation Sets the stage for future research by defining the space of unexplored questions
Materials Informatics And Catalysts Informatics
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Author : Keisuke Takahashi
language : en
Publisher: Springer Nature
Release Date :
Materials Informatics And Catalysts Informatics written by Keisuke Takahashi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Using Secondary Datasets To Understand Persons With Developmental Disabilities And Their Families
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Author :
language : en
Publisher: Academic Press
Release Date : 2013-10-15
Using Secondary Datasets To Understand Persons With Developmental Disabilities And Their Families written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-15 with Medical categories.
International Review of Research in Developmental Disabilities is an ongoing scholarly look at research into the causes, effects, classification systems, syndromes, etc. of developmental disabilities. Contributors come from wide-ranging perspectives, including genetics, psychology, education, and other health and behavioral sciences. Provides the most recent scholarly research in the study of developmental disabilities A vast range of perspectives is offered, and many topics are covered An excellent resource for academic researchers