Author : Zhang, Qingyu
Publisher : IGI Global
Page : 362 pages
File Size : 11,96 MB
Release : 2010-10-31
Category : Computers
ISBN : 1609601041
"This book is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing, covering state-of-the-art of the theory and applications of mining"--
Author : Christoph Molnar
Publisher : Lulu.com
Page : 320 pages
File Size : 11,55 MB
Release : 2020
Category : Computers
ISBN : 0244768528
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Author : Christian Tominski
Publisher : CRC Press
Page : 318 pages
File Size : 31,46 MB
Release : 2020-04-01
Category : Computers
ISBN : 1351648748
In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features: Dedicated to the synthesis of visual, interactive, and analysis methods Systematic top-down view on visualization, interaction, and automatic analysis Broad coverage of fundamental and advanced visualization techniques Comprehensive chapter on interacting with visual representations Extensive integration of automatic computational methods Accessible portrayal of cutting-edge visual analytics technology Foreword by Jack van Wijk For more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license.
Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1681 pages
File Size : 26,77 MB
Release : 2022-04-01
Category : Language Arts & Disciplines
ISBN : 1668456834
Whether through speech, writing, or other methods, language and communication has been an essential tool for human cooperation and development. Across the world, language varies drastically based on culture and disposition. Even in areas in which the language is standardized, it is common to have many varieties of dialects. It is essential to understand applied linguistics and language practices to create equitable spaces for all dialects and languages. The Research Anthology on Applied Linguistics and Language Practices discusses in-depth the current global research on linguistics from the development of language to the practices in language acquisition. It further discusses the social factors behind language and dialect as well as cultural identity found behind unique traits in language and dialect. Covering topics such as linguistic equity, phonology, and sociolinguistics, this major reference work is an indispensable resource for linguists, pre-service teachers, libraries, students and educators of higher education, educational administration, ESL organizations, government officials, researchers, and academicians.
Author : Simon James Fong
Publisher : Springer Nature
Page : 228 pages
File Size : 47,23 MB
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 981156695X
This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.
Author : Noel Castree
Publisher : John Wiley & Sons
Page : 8364 pages
File Size : 20,17 MB
Release : 2017-03-20
Category : Science
ISBN : 0470659637
Zweifelsohne das Referenzwerk zu diesem weitgefächerten und dynamischen Fachgebiet. The International Encyclopedia of Geograph ist das Ergebnis einer einmaligen Zusammenarbeit zwischen Wiley und der American Association of Geographers (AAG), beleuchtet und definiert Konzepte, Forschung und Techniken in der Geographie und zugehörigen Fachgebieten. Die Enzyklopädie ist als Online-Ausgabe und 15-bändige farbige Printversion erhältlich. Unter der Mitarbeit einer Gruppe von Experten aus aller Welt ist ein umfassender und fundierter Überblick über die Geographie in allen Erdteilen entstanden. - Enthält mehr als 1.000 Einträge zwischen 1.000 und 10.000 Wörtern, die verständlich in grundlegende Konzepte einführen, komplexe Themen erläutern und Informationen zu geographischen Gesellschaften aus aller Welt enthalten. - Entstanden unter der Mitarbeit von mehr als 900 Wissenschaftlern aus über 40 Ländern und bietet damit einen umfassenden und fundierten Überblick über die Geographie in allen Erdteilen. - Deckt das Fachgebiet umfassend ab und berücksichtigt auch die Richtungen Humangeographie, Physikalische Geographie, geographische Informationswissenschaften und -systeme, Erdwissenschaften und Umweltwissenschaften. - Führt interdisziplinäre Sichtweisen zu geographischen Themen und Verfahren zusammen, die auch für die Sozialwissenschaften, Geisteswissenschaften, Naturwissenschaften und Medizin von Interesse sind. - Printausgabe durchgängig in Farbe mit über 1.000 Illustrationen und Fotos. - Online-Ausgabe wird jährlich aktualisiert.
Author : Jacques Blanc-Talon
Publisher : Springer
Page : 772 pages
File Size : 42,3 MB
Release : 2017-11-22
Category : Computers
ISBN : 3319703536
This book constitutes the refereed proceedings of the 18th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2017, held in Antwerp, Belgium, in September 2017. The 63 full papers presented in this volume were carefully selected from 134 submissions. They deal with human-computer interaction; classification and recognition; navigation, mapping, robotics, and transports; video processing and retrieval; security, forensics, surveillance; and image processing.
Author : Charles D. Hansen
Publisher : Elsevier
Page : 1061 pages
File Size : 20,43 MB
Release : 2011-08-30
Category : Technology & Engineering
ISBN : 0080481647
The Visualization Handbook provides an overview of the field of visualization by presenting the basic concepts, providing a snapshot of current visualization software systems, and examining research topics that are advancing the field. This text is intended for a broad audience, including not only the visualization expert seeking advanced methods to solve a particular problem, but also the novice looking for general background information on visualization topics. The largest collection of state-of-the-art visualization research yet gathered in a single volume, this book includes articles by a "who's who of international scientific visualization researchers covering every aspect of the discipline, including:·Virtual environments for visualization·Basic visualization algorithms·Large-scale data visualization·Scalar data isosurface methods·Visualization software and frameworks·Scalar data volume rendering·Perceptual issues in visualization·Various application topics, including information visualization.* Edited by two of the best known people in the world on the subject; chapter authors are authoritative experts in their own fields;* Covers a wide range of topics, in 47 chapters, representing the state-of-the-art of scientific visualization.
Author : Carlos Fernandez-Lozano
Publisher : MDPI
Page : 314 pages
File Size : 37,19 MB
Release : 2021-04-28
Category : Science
ISBN : 3036509445
• Real-world problems can be high-dimensional, complex, and noisy • More data does not imply more information • Different approaches deal with the so-called curse of dimensionality to reduce irrelevant information • A process with multidimensional information is not necessarily easy to interpret nor process • In some real-world applications, the number of elements of a class is clearly lower than the other. The models tend to assume that the importance of the analysis belongs to the majority class and this is not usually the truth • The analysis of complex diseases such as cancer are focused on more-than-one dimensional omic data • The increasing amount of data thanks to the reduction of cost of the high-throughput experiments opens up a new era for integrative data-driven approaches • Entropy-based approaches are of interest to reduce the dimensionality of high-dimensional data
Author : Alice Zheng
Publisher : "O'Reilly Media, Inc."
Page : 218 pages
File Size : 40,92 MB
Release : 2018-03-23
Category : Computers
ISBN : 1491953195
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques
