Data Mining And Data Visualization

Author : Anonim
Publisher : Elsevier
Page : 800 pages
File Size : 45,5 Mb
Release : 2005-05-02
Category : Mathematics
ISBN : 0080459404

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Data Mining and Data Visualization by Anonim Pdf

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights

Author : Usama M. Fayyad,Georges G. Grinstein,Andreas Wierse
Publisher : Morgan Kaufmann
Page : 446 pages
File Size : 41,6 Mb
Release : 2002
Category : Computers
ISBN : 1558606890

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Information Visualization in Data Mining and Knowledge Discovery by Usama M. Fayyad,Georges G. Grinstein,Andreas Wierse Pdf

This text surveys research from the fields of data mining and information visualisation and presents a case for techniques by which information visualisation can be used to uncover real knowledge hidden away in large databases.

Author : Tom Soukup,Ian Davidson
Publisher : John Wiley & Sons
Page : 425 pages
File Size : 50,5 Mb
Release : 2002-09-18
Category : Computers
ISBN : 9780471271383

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Visual Data Mining by Tom Soukup,Ian Davidson Pdf

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non-technical audience to help them solve common business problems. Explains how to select the appropriate data sets for analysis, transform the data sets into usable formats, and verify that the sets are error-free Reviews how to choose the right model for the specific type of analysis project, how to analyze the model, and present the results for decision making Shows how to solve numerous business problems by applying various tools and techniques Companion Web site offers links to data visualization and visual data mining tools, and real-world success stories using visual data mining

Author : Glenn J. Myatt,Wayne P. Johnson
Publisher : John Wiley & Sons
Page : 325 pages
File Size : 46,8 Mb
Release : 2009-02-03
Category : Mathematics
ISBN : 9780470222805

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Making Sense of Data II by Glenn J. Myatt,Wayne P. Johnson Pdf

A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, finance, and the social sciences. Following a comprehensive introduction that details how to define a problem, perform an analysis, and deploy the results, Making Sense of Data II addresses the following key techniques for advanced data analysis: Data Visualization reviews principles and methods for understanding and communicating data through the use of visualization including single variables, the relationship between two or more variables, groupings in data, and dynamic approaches to interacting with data through graphical user interfaces. Clustering outlines common approaches to clustering data sets and provides detailed explanations of methods for determining the distance between observations and procedures for clustering observations. Agglomerative hierarchical clustering, partitioned-based clustering, and fuzzy clustering are also discussed. Predictive Analytics presents a discussion on how to build and assess models, along with a series of predictive analytics that can be used in a variety of situations including principal component analysis, multiple linear regression, discriminate analysis, logistic regression, and Naïve Bayes. Applications demonstrates the current uses of data mining across a wide range of industries and features case studies that illustrate the related applications in real-world scenarios. Each method is discussed within the context of a data mining process including defining the problem and deploying the results, and readers are provided with guidance on when and how each method should be used. The related Web site for the series (www.makingsenseofdata.com) provides a hands-on data analysis and data mining experience. Readers wishing to gain more practical experience will benefit from the tutorial section of the book in conjunction with the TraceisTM software, which is freely available online. With its comprehensive collection of advanced data mining methods coupled with tutorials for applications in a range of fields, Making Sense of Data II is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who are interested in learning how to accomplish effective decision making from data and understanding if data analysis and data mining methods could help their organization.

Author : Alex Campbell
Publisher : Independently Published
Page : 114 pages
File Size : 42,6 Mb
Release : 2021-01-24
Category : Electronic
ISBN : 9798599511847

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Data Visualization Guide by Alex Campbell Pdf

Have you ever wondered how you can work with large volumes of data sets? Do you ever think about how you can use these data sets to identify hidden patterns and make an informed decision? Do you know where you can collect this information? Have you ever questioned what you can do with incomplete or incorrect data sets? If you said yes to any of these questions, then you have come to the right place. Most businesses collect information from various sources. This information can be in different formats and needs to be collected, processed, and improved upon if you want to interpret it. You can use various data mining tools to source the information from different places. These tools can also help with the cleaning and processing techniques. You can use this information to make informed decisions and improve the efficiency and methods in your business. Every business needs to find a way to interpret and analyze large data sets. To do this, you will need to learn more about the different libraries and functions used to improve data sets. Since most data professionals use Python as the base programming language to develop models, this book uses some common libraries and functions from Python to give you a brief introduction to the language. If you are a budding analyst or want to freshen up on your concepts, this book is for you. It has all the basic information you need to help you become a data analyst or scientist. In this book, you will: Learn what data mining is, and how you can apply in different fields. Discover the different components in data mining architecture. Investigate the different tools used for data mining. Uncover what data analysis is and why it's important. Understand how to prepare for data analysis. Visualize the data. And so much more! So, what are you waiting for? Grab a copy of this book now.

Author : George M. Marakas
Publisher : Unknown
Page : 300 pages
File Size : 41,6 Mb
Release : 2003
Category : Business & Economics
ISBN : UOM:39015056230553

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Modern Data Warehousing, Mining, and Visualization by George M. Marakas Pdf

For undergraduate/graduate-level Data Mining or Data Warehousing courses in Information Systems or Operations Management Departments electives. Taking a multidisciplinary user/manager approach, this text looks at data warehousing technologies necessary to support the business processes of the twenty-first century. Using a balanced professional and conversational approach, it explores the basic concepts of data mining, warehousing, and visualization with an emphasis on both technical and managerial issues and the implication of these modern emerging technologies on those issues. Data mining and visualization exercises using an included fully-enabled, but time-limited version of Megaputer's PolyAnalyst and TextAnalyst data mining and visualization software give students hands-on experience with real-world applications.

Author : Simeon Simoff,Michael H. Böhlen,Arturas Mazeika
Publisher : Springer Science & Business Media
Page : 417 pages
File Size : 52,8 Mb
Release : 2008-07-18
Category : Computers
ISBN : 9783540710790

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Visual Data Mining by Simeon Simoff,Michael H. Böhlen,Arturas Mazeika Pdf

The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected. This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.

Author : Alex Campbell
Publisher : Unknown
Page : 128 pages
File Size : 40,8 Mb
Release : 2020
Category : Data mining
ISBN : 1393993745

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Data Visualization by Alex Campbell Pdf

Author : Herbert Jones
Publisher : Unknown
Page : 134 pages
File Size : 45,7 Mb
Release : 2020-01-03
Category : Computers
ISBN : 1647483042

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Data Science by Herbert Jones Pdf

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying

Author : Richard Hurley
Publisher : Unknown
Page : 92 pages
File Size : 54,9 Mb
Release : 2019-10-24
Category : Electronic
ISBN : 1702211819

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Data Science by Richard Hurley Pdf

If you want to learn about Data Science, then keep reading... This book will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in. There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today. This book will discuss the following topics: What is Data Science? What Exactly Does a Data Scientist Do? A Look at What Data Analytics Is All About What is Data Mining and How Does It Fit in with Data Science? Regression Analysis Why is Data Visualization So Important When It Comes to Understanding Your Data? How to work with Database Querying A Look at Artificial Intelligence What is Machine Learning and How Is It Different from Artificial Intelligence? What is the Future of Artificial Intelligence and Machine Learning? And much more! So if you want to learn more about data science, click "buy now"!

Author : Huang, Mao Lin
Publisher : IGI Global
Page : 464 pages
File Size : 46,9 Mb
Release : 2013-07-31
Category : Computers
ISBN : 9781466643109

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Innovative Approaches of Data Visualization and Visual Analytics by Huang, Mao Lin Pdf

Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems. Innovative Approaches of Data Visualization and Visual Analytics evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and network topologies. This book will assist professionals and researchers working in the fields of data analysis and information science, as well as students in computer science and computer engineering, in developing increasingly effective methods of knowledge creation, management, and preservation.

Author : Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 55,7 Mb
Release : 2012-11-08
Category : Mathematics
ISBN : 9781441902368

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Multidimensional Data Visualization by Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas Pdf

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

Author : Nadieh Bremer,Shirley Wu
Publisher : CRC Press
Page : 429 pages
File Size : 46,5 Mb
Release : 2021-02-09
Category : Computers
ISBN : 9780429816826

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Data Sketches by Nadieh Bremer,Shirley Wu Pdf

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts Practical lessons based on the data and design challenges overcome during each project Full-color pages, showcasing all 24 final data visualizations This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.

Author : Kristen Sosulski
Publisher : Routledge
Page : 272 pages
File Size : 47,6 Mb
Release : 2018-09-27
Category : Business & Economics
ISBN : 9781351380775

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Data Visualization Made Simple by Kristen Sosulski Pdf

Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.

Author : Tamara Munzner
Publisher : CRC Press
Page : 428 pages
File Size : 54,8 Mb
Release : 2014-12-01
Category : Computers
ISBN : 9781466508934

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Visualization Analysis and Design by Tamara Munzner Pdf

Learn How to Design Effective Visualization Systems Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form. The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework. The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human–computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.