Information Visualization in Data Mining and Knowledge Discovery PDF Download
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Author: Usama M. Fayyad
Publisher: Morgan Kaufmann
ISBN: 9781558606890
Category : Computers
Languages : en
Pages : 446
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Book Description
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: Usama M. Fayyad
Publisher: Morgan Kaufmann
ISBN: 9781558606890
Category : Computers
Languages : en
Pages : 446
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Book Description
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: Simeon Simoff
Publisher: Springer Science & Business Media
ISBN: 3540710795
Category : Computers
Languages : en
Pages : 417
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Book Description
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: John Wang
Publisher: IGI Global
ISBN: 9781931777834
Category : Computers
Languages : en
Pages : 496
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Book Description
"An overview of the multidisciplinary field of data mining, this book focuses specifically on new methodologies and case studies. Included are case studies written by 44 leading scientists and talented young scholars from seven different countries. Topics covered include data mining based on rough sets, the impact of missing data, and mining free text for structure. In addition, the four basic mining operations supported by numerous mining techniques are addressed: predictive model creation supported by supervised induction techniques; link analysis supported by association discovery and sequence discovery techniques; DB segmentation supported by clustering techniques; and deviation detection supported by statistical techniques."
Author: Harvey J. Miller
Publisher: CRC Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 408
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Book Description
Advances in automated data collection are creating massive databases and a whole new field, Knowledge Discovery Databases (KDD), has emerged to develop new methods of managing and exploiting them. Geographic Data Mining and Knowledge Discovery is the interrogation of large databases using efficient computational methods. The unique challenges brought about by the storing of massive geographical databases - from high resolution satellite-based systems to data from intelligent transportation systems, for example - has led to the field of Geographical Knowledge Discovery (GKD). Geographic or spatial data mining is the exploration of these geographical information databases. Developed out of contributions to the highly-respected Varenius Project in 1999, this collection will be the definitive volume focusing on GKD and addresses the special challenges to be found in knowledge discovery and data mining from geographic databases.
Author: Boris Kovalerchuk
Publisher: Springer
ISBN: 3319730401
Category : Technology & Engineering
Languages : en
Pages : 317
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Book Description
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.
Author: Wang, John
Publisher: IGI Global
ISBN: 159904952X
Category : Technology & Engineering
Languages : en
Pages : 4092
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Book Description
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.
Author: Benjamin B. Bederson
Publisher: Morgan Kaufmann
ISBN: 1558609156
Category : Computers
Languages : en
Pages : 432
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Book Description
Information visualization is a rapidly growing field that is emerging from research in human-computer interaction, computer science, graphics, visual design, psychology, and business methods. Information visualization is increasingly applied as a critical component in scientific research, digital libraries, data mining, financial data analysis, market studies, manufacturing production control, and drug discovery.
Author: Andreas Kerren
Publisher: Springer Science & Business Media
ISBN: 354070955X
Category : Computers
Languages : en
Pages : 184
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Book Description
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.
Author: Mehmed Kantardzic
Publisher: John Wiley & Sons
ISBN: 0470890452
Category : Computers
Languages : en
Pages : 554
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Book Description
This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades. If you are an instructor or professor and would like to obtain instructor’s materials, please visit http://booksupport.wiley.com If you are an instructor or professor and would like to obtain a solutions manual, please send an email to:
[email protected]
Author: Riccardo Mazza
Publisher: Springer Science & Business Media
ISBN: 184800219X
Category : Computers
Languages : en
Pages : 149
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Book Description
Information Visualization is a relatively young field that is acquiring more and more concensus in both academic and industrial environments. 'Information Visualization' explores the use of computer-supported interactive graphical representations to explain data and amplify cognition. It provides a means to comunicate ideas or facts about the data, to validate hypotheses, and facilitates the discovery of new facts via exploration. This book introduces the concepts and methods of Information Visualization in an easy-to-understand way, illustrating how to pictorially represent structured and unstructured data, making it easier to comprehend and interpret. Riccardo Mazza focuses on the human aspects of the process of visualization rather than the algorithmic or graphic design aspects.
