From Data And Information Analysis To Knowledge Engineering

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From Data and Information Analysis to Knowledge Engineering

Myra Spiliopoulou,Rudolf Kruse,Christian Borgelt,Andreas Nürnberger,Wolfgang A. Gaul
From Data and Information Analysis to Knowledge Engineering Book PDF

Author : Myra Spiliopoulou,Rudolf Kruse,Christian Borgelt,Andreas Nürnberger,Wolfgang A. Gaul
Publisher : Springer Science & Business Media
Page : 780 pages
File Size : 55,5 Mb
Release : 2006-04-20
Category : Language Arts & Disciplines
ISBN : 9783540313144

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From Data and Information Analysis to Knowledge Engineering by Myra Spiliopoulou,Rudolf Kruse,Christian Borgelt,Andreas Nürnberger,Wolfgang A. Gaul Pdf

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.

Data Visualization and Knowledge Engineering

Jude Hemanth,Madhulika Bhatia,Oana Geman
Data Visualization and Knowledge Engineering Book PDF

Author : Jude Hemanth,Madhulika Bhatia,Oana Geman
Publisher : Springer
Page : 319 pages
File Size : 44,6 Mb
Release : 2019-08-09
Category : Technology & Engineering
ISBN : 9783030257972

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Data Visualization and Knowledge Engineering by Jude Hemanth,Madhulika Bhatia,Oana Geman Pdf

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 for Modern Information Systems

Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda
Knowledge Engineering for Modern Information Systems Book PDF

Author : Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda
Publisher : Walter de Gruyter GmbH & Co KG
Page : 282 pages
File Size : 42,5 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9783110713695

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Knowledge Engineering for Modern Information Systems by Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda Pdf

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.

Knowledge Engineering for Modern Information Systems

Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda
Knowledge Engineering for Modern Information Systems Book PDF

Author : Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda
Publisher : Walter de Gruyter GmbH & Co KG
Page : 238 pages
File Size : 54,9 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9783110713633

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Knowledge Engineering for Modern Information Systems by Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda Pdf

This book presents an extensive collection of the recent findings and innovative research in the information system and knowledge engineering domain. Knowledge engineering is a field within artificial intelligence that develops in particular systems that use knowledge, rather than data, to solve many computing problems, that would usually require high levels of human expertise.

Data Science and Knowledge Engineering for Sensing Decision Support

Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E Kerre
Data Science and Knowledge Engineering for Sensing Decision Support Book PDF

Author : Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E Kerre
Publisher : World Scientific
Page : 1624 pages
File Size : 52,8 Mb
Release : 2018-07-26
Category : Computers
ISBN : 9789813273245

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Data Science and Knowledge Engineering for Sensing Decision Support by Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E Kerre Pdf

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.

Knowledge Engineering Tools and Techniques for AI Planning

Mauro Vallati,Diane Kitchin
Knowledge Engineering Tools and Techniques for AI Planning Book PDF

Author : Mauro Vallati,Diane Kitchin
Publisher : Springer Nature
Page : 277 pages
File Size : 53,6 Mb
Release : 2020-03-25
Category : Computers
ISBN : 9783030385613

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Knowledge Engineering Tools and Techniques for AI Planning by Mauro Vallati,Diane Kitchin Pdf

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.

Cooperation in Classification and Data Analysis

Akinori Okada,Tadashi Imaizumi,Hans-Hermann Bock,Wolfgang A. Gaul
Cooperation in Classification and Data Analysis Book PDF

Author : Akinori Okada,Tadashi Imaizumi,Hans-Hermann Bock,Wolfgang A. Gaul
Publisher : Springer Science & Business Media
Page : 208 pages
File Size : 42,9 Mb
Release : 2009-06-17
Category : Mathematics
ISBN : 9783642006685

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Cooperation in Classification and Data Analysis by Akinori Okada,Tadashi Imaizumi,Hans-Hermann Bock,Wolfgang A. Gaul Pdf

This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.

Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects

Petra Perner
Advances in Data Mining Medical Applications E Commerce Marketing and Theoretical Aspects Book PDF

Author : Petra Perner
Publisher : Springer
Page : 428 pages
File Size : 44,7 Mb
Release : 2008-07-14
Category : Computers
ISBN : 9783540707202

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Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects by Petra Perner Pdf

ICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia ICDM 2008 was the eighth event of the Industrial Conference on Data Mining held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 116 submissions from 20 countries. After the peer-review process, we accepted 36 high-quality papers for oral presentation, which are included in these proceedings. The topics range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Thirteen papers were selected for poster presentations that are published in the ICDM Poster Proceeding Volume. In conjunction with ICDM there were three workshops focusing on special hot application-oriented topics in data mining. The workshop Data Mining in Life Science DMLS 2008 was held the third time this year and the workshop Data Mining in Marketing DMM 2008 ran for the second time this year. Additionally, we introduced an International Workshop on Case-Based Reasoning for Multimedia Data CBR-MD.

Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

Ajith Abraham,Sergey Kovalev,Valery Tarassov,Václav Snášel
Proceedings of the First International Scientific Conference Intelligent Information Technologies for Industry IITI 16 Book PDF

Author : Ajith Abraham,Sergey Kovalev,Valery Tarassov,Václav Snášel
Publisher : Springer
Page : 502 pages
File Size : 42,8 Mb
Release : 2016-05-10
Category : Technology & Engineering
ISBN : 9783319336091

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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16) by Ajith Abraham,Sergey Kovalev,Valery Tarassov,Václav Snášel Pdf

This volume of Advances in Intelligent Systems and Computing contains papers presented in the main track of IITI 2016, the First International Conference on Intelligent Information Technologies for Industry held in May 16-21 in Sochi, Russia. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB – Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI) and Russian Association for Fuzzy Systems and Soft Computing (RAFSSC). The volume is devoted to practical models and industrial applications related to intelligent information systems. The conference has been a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the-state-of-the-art in intelligent systems and soft computing are included in the proceedings as well.

Research and Development in Intelligent Systems XXIV

Max Bramer,Frans Coenen,Miltos Petridis
Research and Development in Intelligent Systems XXIV Book PDF

Author : Max Bramer,Frans Coenen,Miltos Petridis
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 50,9 Mb
Release : 2007-12-03
Category : Computers
ISBN : 9781848000940

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Research and Development in Intelligent Systems XXIV by Max Bramer,Frans Coenen,Miltos Petridis Pdf

An agent in a multi-agent system (MAS) has to generate plans for its individual goal, but these plans may con?ict with those that are already being scheduled or executed by other agents. It must also be able to complete its planning and resolution of these con?icts within a reasonable time to have an acceptable quality plan. Although we adopt hierarchical planning (HP, for example, see [7, 12]) using the decision-theoretic planning (DTP) approach [6] for ef?cient planning, it is not trivial to apply HPO to MAS. In HP, appropriate (abstract) plans are selected level by level to maximize the utility U (p), where where p is the expected ?nal plan comprising a sequence of primitive actions. However, in the MAS context, con?icts between agents affect the ef?ciency and quality of resulting plans. When a con?ict is found at lower levels, an additional sophisticated process for avoiding it (con?ict resolution) must be invoked and some extra actions (such as waiting for synchronization and detouring) may have to be added to the plan. The con?ict resolution process may become costly or fail. Even a single con?ict, if it is dif?cult to resolve, will result in a plan with considerably lower quality than it otherwise would have. As a result, in multi-agent systems, the second- or third-best plans may result in better overall performance.

Information Retrieval Technology

Hang Li
Information Retrieval Technology Book PDF

Author : Hang Li
Publisher : Springer Science & Business Media
Page : 701 pages
File Size : 41,9 Mb
Release : 2008-05-29
Category : Computers
ISBN : 9783540686330

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Information Retrieval Technology by Hang Li Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 4th Asia Information Retrieval Symposium, AIRS 2008, held in Harbin, China, in May 2008. The 39 revised full papers and 43 revised poster papers presented were carefully reviewed and selected from 144 submissions. All current issues in information retrieval are addressed: applications, systems, technologies and theoretical aspects of information retrieval in text, audio, image, video and multi-media data. The papers are organized in topical sections on IR models image retrieval, text classification, chinese language processing, text processing, application of IR, machine learning, taxonomy, IR methods, information extraction, summarization, multimedia, Web IR, and text clustering.

Projection-Based Clustering through Self-Organization and Swarm Intelligence

Michael Christoph Thrun
Projection Based Clustering through Self Organization and Swarm Intelligence Book PDF

Author : Michael Christoph Thrun
Publisher : Springer
Page : 201 pages
File Size : 43,6 Mb
Release : 2018-01-09
Category : Computers
ISBN : 9783658205409

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Projection-Based Clustering through Self-Organization and Swarm Intelligence by Michael Christoph Thrun Pdf

This book is published open access under a CC BY 4.0 license. It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures. The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining.

An Introduction to Data Science With Python

Jeffrey S. Saltz,Jeffrey M. Stanton
An Introduction to Data Science With Python Book PDF

Author : Jeffrey S. Saltz,Jeffrey M. Stanton
Publisher : SAGE Publications
Page : 234 pages
File Size : 52,5 Mb
Release : 2024-05-29
Category : Computers
ISBN : 9781071850664

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An Introduction to Data Science With Python by Jeffrey S. Saltz,Jeffrey M. Stanton Pdf

An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool. Included with this title: LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don′t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.

Handbook on Ontologies

Steffen Staab,Rudi Studer
Handbook on Ontologies Book PDF

Author : Steffen Staab,Rudi Studer
Publisher : Springer Science & Business Media
Page : 809 pages
File Size : 48,7 Mb
Release : 2010-03-14
Category : Computers
ISBN : 9783540926733

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Handbook on Ontologies by Steffen Staab,Rudi Studer Pdf

An ontology is a formal description of concepts and relationships that can exist for a community of human and/or machine agents. The notion of ontologies is crucial for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies considering ontology languages, ontology engineering methods, example ontologies, infrastructures and technologies for ontologies, and how to bring this all into ontology-based infrastructures and applications that are among the best of their kind. The field of ontologies has tremendously developed and grown in the five years since the first edition of the "Handbook on Ontologies". Therefore, its revision includes 21 completely new chapters as well as a major re-working of 15 chapters transferred to this second edition.

Ontology Learning and Population from Text

Philipp Cimiano
Ontology Learning and Population from Text Book PDF

Author : Philipp Cimiano
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 40,9 Mb
Release : 2006-12-11
Category : Computers
ISBN : 9780387392523

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Ontology Learning and Population from Text by Philipp Cimiano Pdf

In the last decade, ontologies have received much attention within computer science and related disciplines, most often as the semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as knowledge management, information retrieval, text clustering and classification, as well as natural language processing. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is structured for research scientists and practitioners in industry. This book is also suitable for graduate-level students in computer science.