Information Visualization in Data Mining and Knowledge Discovery

Information Visualization in Data Mining and Knowledge Discovery
Author: Usama M. Fayyad
Publisher: Morgan Kaufmann
Total Pages: 446
Release: 2002
Genre: Computers
ISBN: 9781558606890

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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.

Visual Data Mining

Visual Data Mining
Author: Simeon Simoff
Publisher: Springer Science & Business Media
Total Pages: 417
Release: 2008-07-18
Genre: Computers
ISBN: 3540710795

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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.

The Craft of Information Visualization

The Craft of Information Visualization
Author: Benjamin B. Bederson
Publisher: Elsevier
Total Pages: 431
Release: 2003-05-22
Genre: Computers
ISBN: 0080503284

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Since the beginning of the computer age, researchers from many disciplines have sought to facilitate people's use of computers and to provide ways for scientists to make sense of the immense quantities of data coming out of them. One gainful result of these efforts has been the field of information visualization, whose technology is increasingly applied in scientific research, digital libraries, data mining, financial data analysis, market studies, manufacturing production control, and data discovery. This book collects 38 of the key papers on information visualization from a leading and prominent research lab, the University of Maryland’s Human-Computer Interaction Lab (HCIL). Celebrating HCIL’s 20th anniversary, this book presents a coherent body of work from a respected community that has had many success stories with its research and commercial spin-offs. Each chapter contains an introduction specifically written for this volume by two leading HCI researchers, to describe the connections among those papers and reveal HCIL’s individual approach to developing innovations. *Presents key ideas, novel interfaces, and major applications of information visualization tools, embedded in inspirational prototypes. *Techniques can be widely applied in scientific research, digital libraries, data mining, financial data analysis, business market studies, manufacturing production control, drug discovery, and genomic studies. *Provides an "insider" view to the scientific process and evolution of innovation, as told by the researchers themselves. *This work comes from the prominent and high profile University of Maryland's Human Computer Interaction Lab

Geographic Data Mining and Knowledge Discovery

Geographic Data Mining and Knowledge Discovery
Author: Harvey J. Miller
Publisher: CRC Press
Total Pages: 486
Release: 2009-05-27
Genre: Computers
ISBN: 1420073982

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The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee

Text Mining and Visualization

Text Mining and Visualization
Author: Markus Hofmann
Publisher: CRC Press
Total Pages: 337
Release: 2016-01-05
Genre: Business & Economics
ISBN: 148223758X

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Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w

Information Visualization

Information Visualization
Author: Andreas Kerren
Publisher: Springer Science & Business Media
Total Pages: 184
Release: 2008-07-18
Genre: Computers
ISBN: 354070955X

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This book is the outcome of the Dagstuhl Seminar on "Information Visualization -- Human-Centered Issues in Visual Representation, Interaction, and Evaluation" held at Dagstuhl Castle, Germany, from May 28 to June 1, 2007. Information Visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data. This book documents and extends the findings and discussions of the various sessions in detail. The seven contributions cover the most important topics: There are general reflections on the value of information visualization; evaluating information visualizations; theoretical foundations of information visualization; teaching information visualization. And specific aspects on creation and collaboration: engaging new audiences for information visualization; process and pitfalls in writing information visualization research papers; and visual analytics: definition, process, and challenges.

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Author: Andreas Holzinger
Publisher: Springer
Total Pages: 373
Release: 2014-06-17
Genre: Computers
ISBN: 3662439689

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One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

Visual Knowledge Discovery and Machine Learning

Visual Knowledge Discovery and Machine Learning
Author: Boris Kovalerchuk
Publisher: Springer
Total Pages: 332
Release: 2018-01-17
Genre: Technology & Engineering
ISBN: 3319730401

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This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.

Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management: Emerging Research and Opportunities

Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management: Emerging Research and Opportunities
Author: Swayze, Susan
Publisher: IGI Global
Total Pages: 198
Release: 2020-06-26
Genre: Computers
ISBN: 1799822370

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The fast-paced world created by the accessibility of consumer information through internet-generated data requires improved information-management platforms. The continuous evaluation and evolution of these systems facilitate enhanced data reference and output. Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management is a critical research publication that provides insight into the varied and rapidly changing fields of knowledge discovery and information resource management. Highlighting a range of topics such as datamining, artificial intelligence, and risk assessment, this book is essential for librarians, academicians, policymakers, information managers, professionals, and researchers in fields that include artificial intelligence, knowledge discovery, data visualization, big data, and information resources management.

Innovative Approaches of Data Visualization and Visual Analytics

Innovative Approaches of Data Visualization and Visual Analytics
Author: Huang, Mao Lin
Publisher: IGI Global
Total Pages: 464
Release: 2013-07-31
Genre: Computers
ISBN: 1466643102

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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.