Data Visualization And Knowledge Engineering

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Data Visualization and Knowledge Engineering

Author : Jude Hemanth
Publisher : Springer
ISBN 13 : 3030257975
Total Pages : 319 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Data Visualization and Knowledge Engineering by : Jude Hemanth

Download or read book Data Visualization and Knowledge Engineering written by Jude Hemanth and published by Springer. This book was released on 2019-08-09 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge. Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats. Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role. Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field. Each chapter is self-contained and offers an in-depth analysis of real-world applications. It discusses topics including (but not limited to) spatial data visualization; biomedical visualization and applications; image/video summarization and visualization; perception and cognition in visualization; visualization taxonomies and models; abstract data visualization; information and graph visualization; knowledge engineering; human–machine cooperation; metamodeling; natural language processing; architectures of database, expert and knowledge-based systems; knowledge acquisition methods; applications, case studies and management issues: data administration issues and knowledge; tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, designing and using KBSs in cyberspace; Semantic Web.

Knowledge Engineering

Author : S. C. Mehrotra
Publisher : Alpha Science International Limited
ISBN 13 : 9788184871234
Total Pages : 328 pages
Book Rating : 4.8/5 (712 download)

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Book Synopsis Knowledge Engineering by : S. C. Mehrotra

Download or read book Knowledge Engineering written by S. C. Mehrotra and published by Alpha Science International Limited. This book was released on 2011 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: KNOWLEDGE ENGINEERING (KE) and data mining are areas of common interest to researchers in AI, Pattern Recognition, Statistics, Databases, Knowledge Acquisition, Data Visualization, high performance computing, and expert systems. This book is divided in to seven major parts. Part one has focused on document and multi-document reconstruction and summarization, Medical Imaging, Opinion Mining, PCA & LDA, Cross co-relation and phase based matching. Whereas the Part two covers application areas of Data Mining like Data Cleaning, Weather forecasting and Web Mining. Part three covers HCI, ECG, Direct Manipulation Interface, Face Recognition in crowd, Gesture recognition for Mobile, Chaotic dynamics, epilepsy and Alzheimer's diagnosis, CAL, Devanagri character recognition and Speech Databases. Web Mining related areas like Clustering, Web usage Mining, Web log analysis, BI, Web indexing, Crawlers and Link Mining are covered in part four. The algorithms of Data Mining related to Decision Trees, Association Rules and Tries base Apriori algorithm, Decision support and GIS are covered in Part five. The sixth number part covers aspects of Security like density based approach, intrusion detection in Oracle, unbalanced datasets and dark block extraction. The last part number seven contains the other allied areas of Data Mining for the applications like customer review, SOA-Governance & planning, Mobile Ad-Hoc networks, KE Framework for technical education institutes, time series analysis, extraction of genetic features, KD in Agriculture crop production, Earthquake prediction and Credit Card fraud detection.

Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence

Author : Hiran, Kamal Kant
Publisher : IGI Global
ISBN 13 : 1668465205
Total Pages : 383 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence by : Hiran, Kamal Kant

Download or read book Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence written by Hiran, Kamal Kant and published by IGI Global. This book was released on 2023-04-04 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.

From Data and Information Analysis to Knowledge Engineering

Author : Myra Spiliopoulou
Publisher : Springer Science & Business Media
ISBN 13 : 3540313141
Total Pages : 780 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis From Data and Information Analysis to Knowledge Engineering by : Myra Spiliopoulou

Download or read book From Data and Information Analysis to Knowledge Engineering written by Myra Spiliopoulou and published by Springer Science & Business Media. This book was released on 2006-04-20 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.

Innovative Approaches of Data Visualization and Visual Analytics

Author : Huang, Mao Lin
Publisher : IGI Global
ISBN 13 : 1466643102
Total Pages : 464 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Innovative Approaches of Data Visualization and Visual Analytics by : Huang, Mao Lin

Download or read book Innovative Approaches of Data Visualization and Visual Analytics written by Huang, Mao Lin and published by IGI Global. This book was released on 2013-07-31 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge is Beautiful

Author : David McCandless
Publisher : Collins
ISBN 13 : 9780007427925
Total Pages : 255 pages
Book Rating : 4.4/5 (279 download)

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Book Synopsis Knowledge is Beautiful by : David McCandless

Download or read book Knowledge is Beautiful written by David McCandless and published by Collins. This book was released on 2014-09-25 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating and thoroughly modern glimpse of world knowledge. It offers a deeper, more ranging look at the world and its history, and an entirely democratic, global look at key issues bedded into the foundations of world knowledge - from questions and facts on history and politics to science, literature and more.

Information Visualization in Data Mining and Knowledge Discovery

Author : Usama M. Fayyad
Publisher : Morgan Kaufmann
ISBN 13 : 9781558606890
Total Pages : 446 pages
Book Rating : 4.6/5 (68 download)

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Book Synopsis Information Visualization in Data Mining and Knowledge Discovery by : Usama M. Fayyad

Download or read book Information Visualization in Data Mining and Knowledge Discovery written by Usama M. Fayyad and published by Morgan Kaufmann. This book was released on 2002 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Linked Data Visualization

Author : Laura Po
Publisher : Springer Nature
ISBN 13 : 3031794907
Total Pages : 143 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Linked Data Visualization by : Laura Po

Download or read book Linked Data Visualization written by Laura Po and published by Springer Nature. This book was released on 2022-05-31 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens. This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios. The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.

Knowledge Engineering and Knowledge Management

Author : Patrick Lambrix
Publisher : Springer
ISBN 13 : 3319179667
Total Pages : 234 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Knowledge Engineering and Knowledge Management by : Patrick Lambrix

Download or read book Knowledge Engineering and Knowledge Management written by Patrick Lambrix and published by Springer. This book was released on 2015-04-20 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of Satellite Events held at the 19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014 in November 2014. EKAW 2014 hosted three satellite workshops: VISUAL 2014, International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics, EKM1, the First International Workshop on Educational Knowledge Management and ARCOE-Logic 2014, the 6th International Workshop on Acquisition, Representation and Reasoning about Context with Logic. This volume also contains the accepted contributions for the EKAW 2014 tutorials, demo and poster sessions.

Data Visualization

Author : Frits H. Post
Publisher : Springer Science & Business Media
ISBN 13 : 1461511771
Total Pages : 445 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Data Visualization by : Frits H. Post

Download or read book Data Visualization written by Frits H. Post and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.

Knowledge Graphs

Author : Aidan Hogan
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636392369
Total Pages : 257 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Knowledge Graphs by : Aidan Hogan

Download or read book Knowledge Graphs written by Aidan Hogan and published by Morgan & Claypool Publishers. This book was released on 2021-11-08 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.

Data Science, Data Visualization, and Digital Twins

Author : Sara Shirowzhan
Publisher : BoD – Books on Demand
ISBN 13 : 1839629436
Total Pages : 118 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Data Science, Data Visualization, and Digital Twins by : Sara Shirowzhan

Download or read book Data Science, Data Visualization, and Digital Twins written by Sara Shirowzhan and published by BoD – Books on Demand. This book was released on 2022-02-02 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time, web-based, and interactive visualisations are proven to be outstanding methodologies and tools in numerous fields when knowledge in sophisticated data science and visualisation techniques is available. The rationale for this is because modern data science analytical approaches like machine/deep learning or artificial intelligence, as well as digital twinning, promise to give data insights, enable informed decision-making, and facilitate rich interactions among stakeholders.The benefits of data visualisation, data science, and digital twinning technologies motivate this book, which exhibits and presents numerous developed and advanced data science and visualisation approaches. Chapters cover such topics as deep learning techniques, web and dashboard-based visualisations during the COVID pandemic, 3D modelling of trees for mobile communications, digital twinning in the mining industry, data science libraries, and potential areas of future data science development.

Knowledge Engineering Tools and Techniques for AI Planning

Author : Mauro Vallati
Publisher : Springer Nature
ISBN 13 : 3030385612
Total Pages : 277 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Knowledge Engineering Tools and Techniques for AI Planning by : Mauro Vallati

Download or read book Knowledge Engineering Tools and Techniques for AI Planning written by Mauro Vallati and published by Springer Nature. This book was released on 2020-03-25 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge. This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.

Knowledge Discovery, Knowledge Engineering and Knowledge Management

Author : Ana Fred
Publisher : Springer
ISBN 13 : 3319527584
Total Pages : 546 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Knowledge Discovery, Knowledge Engineering and Knowledge Management by : Ana Fred

Download or read book Knowledge Discovery, Knowledge Engineering and Knowledge Management written by Ana Fred and published by Springer. This book was released on 2017-01-21 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015, held in Lisbon, Portugal, in November 2015. The 25 full papers presented together with 2 invited papers were carefully reviewed and selected from 280 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing.

Data Visualization

Author : S. Margret Anouncia
Publisher : Springer Nature
ISBN 13 : 9811522820
Total Pages : 179 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Data Visualization by : S. Margret Anouncia

Download or read book Data Visualization written by S. Margret Anouncia and published by Springer Nature. This book was released on 2020-03-03 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.

Knowledge Engineering and the Semantic Web

Author : Pavel Klinov
Publisher : Springer
ISBN 13 : 3642413609
Total Pages : 310 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Knowledge Engineering and the Semantic Web by : Pavel Klinov

Download or read book Knowledge Engineering and the Semantic Web written by Pavel Klinov and published by Springer. This book was released on 2013-09-07 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th Conference on Knowledge Engineering and the Semantic Web, KESW 2013, held in St. Petersburg, Russia, in October 2013. The 18 revised full papers presented together with 7 short system descriptions were carefully reviewed and selected from 52 submissions. The papers address research issues related to knowledge representation, semantic web, and linked data.

Knowledge Engineering and Semantic Web

Author : Pavel Klinov
Publisher : Springer
ISBN 13 : 3319245430
Total Pages : 301 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Knowledge Engineering and Semantic Web by : Pavel Klinov

Download or read book Knowledge Engineering and Semantic Web written by Pavel Klinov and published by Springer. This book was released on 2015-09-29 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th Conference on Knowledge Engineering and the Semantic Web, KESW 2015, held in Moscow, Russia, in September/October 2015.The 17 revised full papers presented together with 6 short system descriptions were carefully reviewed andselected from 35 submissions. The papers address research issues related to semantic web, linked data, ontologies, natural language processing, knowledge representation.