Narrow your search

Library

KU Leuven (39)

Odisee (39)

Thomas More Kempen (39)

Thomas More Mechelen (39)

UCLL (39)

ULB (39)

ULiège (39)

VIVES (39)

UGent (34)

KBC (30)

More...

Resource type

book (39)


Language

English (39)


Year
From To Submit

2023 (39)

Listing 1 - 10 of 39 << page
of 4
>>
Sort by

Book
The Semantic Web
Authors: --- --- --- --- --- et al.
ISBN: 9783031334559 Year: 2023 Publisher: Cham Springer Nature Switzerland :Imprint: Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book constitutes the refereed proceedings of the 20th International Conference on The Semantic Web, ESWC 2023, held in Hersonissos, Crete, Greece, during May 28–June 1, 2023. The 41 full papers included in this book were carefully reviewed and selected from 167 submissions. They are organized in topical sections as follows: research, resource and in-use.


Book
Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2022, Volume 1
Author:
ISBN: 9811941939 9811941920 Year: 2023 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.


Book
Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2022, Volume 2
Author:
ISBN: 9811940525 9811940517 Year: 2023 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during 23–25 February 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.


Book
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part II
Author:
ISBN: 3031282388 303128237X Year: 2023 Publisher: Cham, Switzerland : Springer, Springer Nature Switzerland AG,

Loading...
Export citation

Choose an application

Bookmark

Abstract

The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.


Book
Learning to Quantify
Authors: --- --- ---
ISBN: 3031204670 3031204662 Year: 2023 Publisher: Cham : Springer International Publishing : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (“biased”) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (“macro”) data rather than on individual (“micro”) data.


Book
3D Research Challenges in Cultural Heritage III : Complexity and Quality in Digitisation
Authors: ---
ISBN: 3031355938 303135592X Year: 2023 Publisher: Cham : Springer International Publishing : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This open access book presents a collection of papers focusing on current 3D research challenges in the domain of digital cultural heritage. 3D technologies find considerable use within the field of cultural heritage at the beginning of the 21st century, for example in the areas of data acquisition, modeling, archiving in local repositories, harvesting in digital libraries and their long-term preservation. This volume put emphasis on a number of challenges facing 3D research in the 2D/3D digitization of tangible objects and their transformation to digital/virtual/memory twins; the interplay of geometry, semantics and the recovery and management of knowledge in digital cultural heritage; the handling of 3D data via the Cloud on the Internet and mobile devices; the presentation of cultural heritage content in 3D to the general public; and the 3D reproduction of cultural heritage objects from virtual to real.


Book
Apply Data Science : Introduction, Applications and Projects
Authors: ---
ISBN: 365838798X 3658387971 Year: 2023 Publisher: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown. The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers. The Content Introduction to Data Science Systems, tools and methods Applications The target groups IT consultants and management consultants Project managers and project staff Students and teachers of business informatics, computer science and business administration The editors Prof. Dr Thomas Barton is a professor at Worms University of Applied Sciences. His focus is on the development of operational applications, e-business, cloud computing and data science. Prof. Dr Christian Müller is a professor at the Technical University of Wildau. His focus is on operations research, simulation of business processes and internet technologies.

Keywords

Big data. --- Data mining. --- Electronic data processing. --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data sets, Large --- Large data sets --- Data sets --- Automation --- Artificial intelligence—Data processing. --- Information storage and retrieval systems. --- Business information services. --- Business—Data processing. --- Data Science. --- Information Storage and Retrieval. --- Data Mining and Knowledge Discovery. --- IT in Business. --- Business Informatics. --- Big Data. --- Business --- Business enterprises --- Information services --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data centers --- Digital libraries --- Information organization --- Information retrieval


Book
A Behavioral Economics Approach to Interactive Information Retrieval
Authors: ---
ISBN: 9783031232299 Year: 2023 Publisher: Cham Springer International Publishing :Imprint: Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book brings together the insights from three different areas, Information Seeking and Retrieval, Cognitive Psychology, and Behavioral Economics, and shows how this new interdisciplinary approach can advance our knowledge about users interacting with diverse search systems, especially their seemingly irrational decisions and anomalies that could not be predicted by most normative models. The first part “Foundation” of this book introduces the general notions and fundamentals of this new approach, as well as the main concepts, terminology and theories. The second part “Beyond Rational Agents” describes the systematic biases and cognitive limits confirmed by behavioral experiments of varying types and explains in detail how they contradict the assumptions and predictions of formal models in information retrieval (IR). The third part “Toward A Behavioral Economics Approach” first synthesizes the findings from existing preliminary research on bounded rationality and behavioral economics modeling in information seeking, retrieval, and recommender system communities. Then, it discusses the implications, open questions and methodological challenges of applying the behavioral economics framework to different sub-areas of IR research and practices, such as modeling users and search sessions, developing unbiased learning to rank and adaptive recommendations algorithms, implementing bias-aware intelligent task support, as well as extending the conceptualization and evaluation on IR fairness, accountability, transparency and ethics (FATE) with the knowledge regarding both human biases and algorithmic biases. This book introduces a behavioral economics framework to IR scientists seeking a new perspective on both fundamental and new emerging problems of IR as well as the development and evaluation of bias-aware intelligent information systems. It is especially intended for researchers working on IR and human-information interaction who want to learn about the potential offered by behavioral economics in their own research areas.


Book
Computer vision - ACCV 2022 : 16th Asian conference on computer vision, Macao, China, December 4-8, 2022, proceedings, Part II
Author:
ISBN: 3031262840 3031262832 Year: 2023 Publisher: Cham, Switzerland : Springer, Springer Nature Switzerland AG,

Loading...
Export citation

Choose an application

Bookmark

Abstract

The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.

Keywords

Computer vision. --- Information storage and retrieval systems. --- Social sciences—Data processing. --- Computer networks. --- Machine learning. --- Image processing—Digital techniques. --- Computer Vision. --- Information Storage and Retrieval. --- Computer Application in Social and Behavioral Sciences. --- Computer Communication Networks. --- Machine Learning. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data centers --- Digital libraries --- Information organization --- Information retrieval --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Distributed processing --- Computer vision


Book
Collaborative Knowledge Management Through Product Lifecycle : A Computational Perspective
Authors: ---
ISBN: 9811996261 9811996253 Year: 2023 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book not only presents the state-of-the-art research on knowledge modelling, knowledge retrieval and knowledge reuse, but also elaborates the Collaborative Knowledge Management (CKM) paradigm and the architecture for the next generation of knowledge management systems. Although knowledge management has been extensively studied, particularly in the fields of business management and engineering design, there is a lack of systematic methodologies for addressing the integrated and collaborative dimension of knowledge management during the collaborative process of designing and developing complex systems, products, processes and services. The rapid development of information technologies, together with their applications in engineering and management, has laid the foundation for a Collaborative Knowledge Management (CKM) paradigm. The book specifically discusses this paradigm from a computational perspective. By exploring specific research findings underpinning further CKM research and applications and describing methods related to hot research topics and new research areas, the book appeals to professionals, researchers and graduate students who are interested in knowledge management and related topics and who have a basic understanding of information technologies, computational methods, and knowledge management.

Listing 1 - 10 of 39 << page
of 4
>>
Sort by