Graphs And Discovery

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Graphic Discovery

Howard Wainer
Graphic Discovery Book PDF

Author : Howard Wainer
Publisher : Princeton University Press
Page : 208 pages
File Size : 41,7 Mb
Release : 2007-10-21
Category : Mathematics
ISBN : 9780691134055

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Graphic Discovery by Howard Wainer Pdf

Good graphs make complex problems clear. From the weather forecast to the Dow Jones average, graphs are so ubiquitous today that it is hard to imagine a world without them. Yet they are a modern invention. This book is the first to comprehensively plot humankind's fascinating efforts to visualize data, from a key seventeenth-century precursor--England's plague-driven initiative to register vital statistics--right up to the latest advances. In a highly readable, richly illustrated story of invention and inventor that mixes science and politics, intrigue and scandal, revolution and shopping, Howard Wainer validates Thoreau's observation that circumstantial evidence can be quite convincing, as when you find a trout in the milk. The story really begins with the eighteenth-century origins of the art, logic, and methods of data display, which emerged, full-grown, in William Playfair's landmark 1786 trade atlas of England and Wales. The remarkable Scot singlehandedly popularized the atheoretical plotting of data to reveal suggestive patterns--an achievement that foretold the graphic explosion of the nineteenth century, with atlases published across the observational sciences as the language of science moved from words to pictures. Next come succinct chapters illustrating the uses and abuses of this marvelous invention more recently, from a murder trial in Connecticut to the Vietnam War's effect on college admissions. Finally Wainer examines the great twentieth-century polymath John Wilder Tukey's vision of future graphic displays and the resultant methods--methods poised to help us make sense of the torrent of data in our information-laden world.

Uncertainty and Graphing in Discovery Work

Wolff-Michael Roth
Uncertainty and Graphing in Discovery Work Book PDF

Author : Wolff-Michael Roth
Publisher : Springer
Page : 462 pages
File Size : 47,6 Mb
Release : 2014-08-08
Category : Science
ISBN : 9789400770096

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Uncertainty and Graphing in Discovery Work by Wolff-Michael Roth Pdf

This book deals with uncertainty and graphing in scientific discovery work from a social practice perspective. It is based on a 5-year ethnographic study in an advanced experimental biology laboratory. The book shows how, in discovery work where scientists do not initially know what to make of graphs, there is a great deal of uncertainty and scientists struggle in trying to make sense of what to make of graphs. Contrary to the belief that scientists have no problem “interpreting” graphs, the chapters in this book make clear that uncertainty about their research object is tied to uncertainty of the graphs. It may take scientists several years of struggle in their workplace before they find out just what their graphs are evidence of. Graphs turn out to stand to the entire research in a part/whole relation, where scientists not only need to be highly familiar with the context from which their data are extracted but also with the entire process by means of which the natural world comes to be transformed and represented in the graph. This has considerable implications for science, technology, engineering, and mathematics education at the secondary and tertiary level, as well as in vocational training. This book discusses and elaborates these implications.

Practical Graph Mining with R

Nagiza F. Samatova,William Hendrix,John Jenkins,Kanchana Padmanabhan,Arpan Chakraborty
Practical Graph Mining with R Book PDF

Author : Nagiza F. Samatova,William Hendrix,John Jenkins,Kanchana Padmanabhan,Arpan Chakraborty
Publisher : CRC Press
Page : 495 pages
File Size : 45,5 Mb
Release : 2013-07-15
Category : Business & Economics
ISBN : 9781439860854

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Practical Graph Mining with R by Nagiza F. Samatova,William Hendrix,John Jenkins,Kanchana Padmanabhan,Arpan Chakraborty Pdf

Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste

Cosmic Discovery

Martin Harwit
Cosmic Discovery Book PDF

Author : Martin Harwit
Publisher : Cambridge University Press
Page : 375 pages
File Size : 43,6 Mb
Release : 2019-03-21
Category : History
ISBN : 9781108722049

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Cosmic Discovery by Martin Harwit Pdf

The search -- Discoveries -- Observation -- Detection, recognition, and classification of cosmic phenomena -- The fringes of legitimacy : the need for enlightened planning.

Graph Mining

Deepayan Chakrabarti,Christos Faloutsos
Graph Mining Book PDF

Author : Deepayan Chakrabarti,Christos Faloutsos
Publisher : Morgan & Claypool Publishers
Page : 210 pages
File Size : 48,5 Mb
Release : 2012
Category : Computers
ISBN : 9781608451159

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Graph Mining by Deepayan Chakrabarti,Christos Faloutsos Pdf

What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with "what if" scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous "pageRank" algorithm and the "HITS" algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints. Table of Contents: Introduction / Patterns in Static Graphs / Patterns in Evolving Graphs / Patterns in Weighted Graphs / Discussion: The Structure of Specific Graphs / Discussion: Power Laws and Deviations / Summary of Patterns / Graph Generators / Preferential Attachment and Variants / Incorporating Geographical Information / The RMat / Graph Generation by Kronecker Multiplication / Summary and Practitioner's Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies / Social Networks / Other Related Work / Conclusions

Graphs and Discovery

Siemion Fajtlowicz,Patrick W. Fowler,Pierre Hansen,Melvin F. Janowitz,Fred S. Roberts
Graphs and Discovery Book PDF

Author : Siemion Fajtlowicz,Patrick W. Fowler,Pierre Hansen,Melvin F. Janowitz,Fred S. Roberts
Publisher : Unknown
Page : 370 pages
File Size : 52,7 Mb
Release : 2007-06-07
Category : Mathematics
ISBN : 082184380X

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Graphs and Discovery by Siemion Fajtlowicz,Patrick W. Fowler,Pierre Hansen,Melvin F. Janowitz,Fred S. Roberts Pdf

This volume presents topics addressed at the working group meeting and workshop on Computer-generated Conjectures from Graph Theoretic and Chemical Databases held at Rutgers University (Piscataway, NJ). The events brought together theoreticians and practitioners working in graph theory and chemistry to share ideas and to set an agenda for future developments in the use of computers for generating scientific conjectures. Articles included in the volume were written by developers of some of the most important programs used around the world today, and topics represented in these articles center around various approaches to the use of computers to generate scientific conjectures, mainly in graph theory and chemistry. These approaches combine ideas from such disciplines as theoretical and applied computer science, statistics, discrete and non-discrete mathematics, chemistry, and information science.

Big Data Analytics and Knowledge Discovery

Min Song,Il-Yeol Song,Gabriele Kotsis,A Min Tjoa,Ismail Khalil
Big Data Analytics and Knowledge Discovery Book PDF

Author : Min Song,Il-Yeol Song,Gabriele Kotsis,A Min Tjoa,Ismail Khalil
Publisher : Springer Nature
Page : 413 pages
File Size : 53,7 Mb
Release : 2020-09-10
Category : Computers
ISBN : 9783030590659

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Big Data Analytics and Knowledge Discovery by Min Song,Il-Yeol Song,Gabriele Kotsis,A Min Tjoa,Ismail Khalil Pdf

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be held online in September 2020. The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, graph mining, and parallel processing.

Graphic Discovery

Howard Wainer
Graphic Discovery Book PDF

Author : Howard Wainer
Publisher : Princeton University Press
Page : 209 pages
File Size : 44,9 Mb
Release : 2013-10-24
Category : Mathematics
ISBN : 9781400849277

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Graphic Discovery by Howard Wainer Pdf

Good graphs make complex problems clear. From the weather forecast to the Dow Jones average, graphs are so ubiquitous today that it is hard to imagine a world without them. Yet they are a modern invention. This book is the first to comprehensively plot humankind's fascinating efforts to visualize data, from a key seventeenth-century precursor--England's plague-driven initiative to register vital statistics--right up to the latest advances. In a highly readable, richly illustrated story of invention and inventor that mixes science and politics, intrigue and scandal, revolution and shopping, Howard Wainer validates Thoreau's observation that circumstantial evidence can be quite convincing, as when you find a trout in the milk. The story really begins with the eighteenth-century origins of the art, logic, and methods of data display, which emerged, full-grown, in William Playfair's landmark 1786 trade atlas of England and Wales. The remarkable Scot singlehandedly popularized the atheoretical plotting of data to reveal suggestive patterns--an achievement that foretold the graphic explosion of the nineteenth century, with atlases published across the observational sciences as the language of science moved from words to pictures. Next come succinct chapters illustrating the uses and abuses of this marvelous invention more recently, from a murder trial in Connecticut to the Vietnam War's effect on college admissions. Finally Wainer examines the great twentieth-century polymath John Wilder Tukey's vision of future graphic displays and the resultant methods--methods poised to help us make sense of the torrent of data in our information-laden world.

Managing and Mining Graph Data

Charu C. Aggarwal,Haixun Wang
Managing and Mining Graph Data Book PDF

Author : Charu C. Aggarwal,Haixun Wang
Publisher : Springer Science & Business Media
Page : 623 pages
File Size : 41,9 Mb
Release : 2010-02-02
Category : Computers
ISBN : 9781441960450

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Managing and Mining Graph Data by Charu C. Aggarwal,Haixun Wang Pdf

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.

Machine Learning and Knowledge Discovery in Databases

Peter A. Flach,Tijl De Bie,Nello Cristianini
Machine Learning and Knowledge Discovery in Databases Book PDF

Author : Peter A. Flach,Tijl De Bie,Nello Cristianini
Publisher : Springer
Page : 891 pages
File Size : 41,6 Mb
Release : 2012-09-11
Category : Computers
ISBN : 9783642334863

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Machine Learning and Knowledge Discovery in Databases by Peter A. Flach,Tijl De Bie,Nello Cristianini Pdf

This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.

Structure Discovery in Natural Language

Chris Biemann
Structure Discovery in Natural Language Book PDF

Author : Chris Biemann
Publisher : Springer Science & Business Media
Page : 194 pages
File Size : 54,7 Mb
Release : 2011-12-08
Category : Computers
ISBN : 9783642259234

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Structure Discovery in Natural Language by Chris Biemann Pdf

Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet. This book sets an ambitious goal: to shift the development of language processing systems to a much more automated setting than previous works. A new approach is defined: what if computers analysed large samples of language data on their own, identifying structural regularities that perform the necessary abstractions and generalisations in order to better understand language in the process? After defining the framework of Structure Discovery and shedding light on the nature and the graphic structure of natural language data, several procedures are described that do exactly this: let the computer discover structures without supervision in order to boost the performance of language technology applications. Here, multilingual documents are sorted by language, word classes are identified, and semantic ambiguities are discovered and resolved without using a dictionary or other explicit human input. The book concludes with an outlook on the possibilities implied by this paradigm and sets the methods in perspective to human computer interaction. The target audience are academics on all levels (undergraduate and graduate students, lecturers and professors) working in the fields of natural language processing and computational linguistics, as well as natural language engineers who are seeking to improve their systems.

Handbook of Graph Theory

Jonathan L. Gross,Jay Yellen
Handbook of Graph Theory Book PDF

Author : Jonathan L. Gross,Jay Yellen
Publisher : CRC Press
Page : 1200 pages
File Size : 46,5 Mb
Release : 2003-12-29
Category : Computers
ISBN : 0203490207

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Handbook of Graph Theory by Jonathan L. Gross,Jay Yellen Pdf

The Handbook of Graph Theory is the most comprehensive single-source guide to graph theory ever published. Best-selling authors Jonathan Gross and Jay Yellen assembled an outstanding team of experts to contribute overviews of more than 50 of the most significant topics in graph theory-including those related to algorithmic and optimization approach

Intelligence and Security Informatics

Hsinchun Chen,Feiyue Wang,Christopher C. Yang,Daniel Zeng,Michael Chau,Kuiyu Chang
Intelligence and Security Informatics Book PDF

Author : Hsinchun Chen,Feiyue Wang,Christopher C. Yang,Daniel Zeng,Michael Chau,Kuiyu Chang
Publisher : Springer
Page : 197 pages
File Size : 42,7 Mb
Release : 2006-03-10
Category : Computers
ISBN : 9783540333623

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Intelligence and Security Informatics by Hsinchun Chen,Feiyue Wang,Christopher C. Yang,Daniel Zeng,Michael Chau,Kuiyu Chang Pdf

This book constitutes the refereed proceedings of the International Workshop on Intelligence and Security Informatics, WISI 2006, held in Singapore in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining. The 32 papers presented together with the abstract of the keynote talk were carefully reviewed. The papers are organized in sections on Web and text mining for terrorism informatics, cybercrime analysis, network security, and crime data mining.

Pattern Recognition and String Matching

Dechang Chen,Xiuzhen Cheng
Pattern Recognition and String Matching Book PDF

Author : Dechang Chen,Xiuzhen Cheng
Publisher : Springer Science & Business Media
Page : 759 pages
File Size : 45,7 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9781461302315

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Pattern Recognition and String Matching by Dechang Chen,Xiuzhen Cheng Pdf

The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization. This book is devoted to recent advances in pattern recognition and string matching. It consists of twenty eight chapters written by different authors, addressing a broad range of topics such as those from classifica tion, matching, mining, feature selection, and applications. Each chapter is self-contained, and presents either novel methodological approaches or applications of existing theories and techniques. The aim, intent, and motivation for publishing this book is to pro vide a reference tool for the increasing number of readers who depend upon pattern recognition or string matching in some way. This includes students and professionals in computer science, mathematics, statistics, and electrical engineering. We wish to thank all the authors for their valuable efforts, which made this book a reality. Thanks also go to all reviewers who gave generously of their time and expertise.

Distributed Computing and Networking

Marcos K. Aguilera,Haifeng Yu,Nitin H. Vaidya,Vikram Srinivasan,Romit Roy Choudhury
Distributed Computing and Networking Book PDF

Author : Marcos K. Aguilera,Haifeng Yu,Nitin H. Vaidya,Vikram Srinivasan,Romit Roy Choudhury
Publisher : Springer
Page : 434 pages
File Size : 42,5 Mb
Release : 2011-01-10
Category : Computers
ISBN : 9783642176791

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Distributed Computing and Networking by Marcos K. Aguilera,Haifeng Yu,Nitin H. Vaidya,Vikram Srinivasan,Romit Roy Choudhury Pdf

This book constitutes the refereed proceedings of the 12th International Conference on Distributed Computing and Networking, ICDCN 2011, held in Bangalore, India, during January 2-5, 2011. The 31 revised full papers and 3 revised short papers presented together with 3 invited lectures were carefully reviewed and selected from 140 submissions. The papers address all current issues in the field of distributed computing and networking. Being a leading forum for researchers and practitioners to exchange ideas and share best practices, ICDCN also serves as a forum for PhD students to share their research ideas and get quality feedback from the well-renowned experts in the field.