Machine Learning And Knowledge Extraction

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Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publisher : Springer Nature
Page : 552 pages
File Size : 47,6 Mb
Release : 2020-08-19
Category : Computers
ISBN : 9783030573218

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl Pdf

This book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020. The 30 revised full papers presented were carefully reviewed and selected from 140 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity. Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publisher : Springer
Page : 379 pages
File Size : 49,5 Mb
Release : 2018-08-23
Category : Computers
ISBN : 9783319997407

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl Pdf

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, Germany, in September 2018. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are clustered under the following topical sections: MAKE-Main Track, MAKE-Text, MAKE-Smart Factory, MAKE-Topology, and MAKE Explainable AI.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publisher : Springer Nature
Page : 366 pages
File Size : 43,6 Mb
Release : 2021-08-11
Category : Computers
ISBN : 9783030840600

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl Pdf

This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021. The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Towards Integrative Machine Learning and Knowledge Extraction

Andreas Holzinger,Randy Goebel,Massimo Ferri,Vasile Palade
Towards Integrative Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Randy Goebel,Massimo Ferri,Vasile Palade
Publisher : Springer
Page : 207 pages
File Size : 43,9 Mb
Release : 2017-10-27
Category : Computers
ISBN : 9783319697758

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Towards Integrative Machine Learning and Knowledge Extraction by Andreas Holzinger,Randy Goebel,Massimo Ferri,Vasile Palade Pdf

The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publisher : Springer Nature
Page : 428 pages
File Size : 48,5 Mb
Release : 2019-08-22
Category : Computers
ISBN : 9783030297268

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl Pdf

This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,Federico Cabitza,Andrea Campagner,A Min Tjoa,Edgar Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,Federico Cabitza,Andrea Campagner,A Min Tjoa,Edgar Weippl
Publisher : Springer Nature
Page : 335 pages
File Size : 49,5 Mb
Release : 2023-08-21
Category : Computers
ISBN : 9783031408373

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,Federico Cabitza,Andrea Campagner,A Min Tjoa,Edgar Weippl Pdf

This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023. The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publisher : Springer Nature
Page : 390 pages
File Size : 41,6 Mb
Release : 2022-08-10
Category : Computers
ISBN : 9783031144639

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl Pdf

This book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022. The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publisher : Springer
Page : 383 pages
File Size : 43,8 Mb
Release : 2017-08-23
Category : Computers
ISBN : 9783319668086

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl Pdf

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017. The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A. Min Tjoa,Edgar R. Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A. Min Tjoa,Edgar R. Weippl
Publisher : Unknown
Page : 372 pages
File Size : 47,5 Mb
Release : 2018
Category : Data mining
ISBN : 3319997416

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A. Min Tjoa,Edgar R. Weippl Pdf

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, Germany, in September 2018. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are clustered under the following topical sections: MAKE-Main Track, MAKE-Text, MAKE-Smart Factory, MAKE-Topology, and MAKE Explainable AI.

Signal Processing Techniques for Knowledge Extraction and Information Fusion

Danilo Mandic,Martin Golz,Anthony Kuh,Dragan Obradovic,Toshihisa Tanaka
Signal Processing Techniques for Knowledge Extraction and Information Fusion Book PDF

Author : Danilo Mandic,Martin Golz,Anthony Kuh,Dragan Obradovic,Toshihisa Tanaka
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 51,7 Mb
Release : 2008-03-23
Category : Technology & Engineering
ISBN : 9780387743677

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Signal Processing Techniques for Knowledge Extraction and Information Fusion by Danilo Mandic,Martin Golz,Anthony Kuh,Dragan Obradovic,Toshihisa Tanaka Pdf

This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of real-world data. Readers discover applications that solve biomedical, industrial, and environmental problems.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publisher : Unknown
Page : 0 pages
File Size : 48,8 Mb
Release : 2021
Category : Electronic
ISBN : 3030840611

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl Pdf

This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021. The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Machine Learning and Knowledge Extraction

Andreas Holzinger,Peter Kieseberg,A. Min Tjoa,Edgar R. Weippl
Machine Learning and Knowledge Extraction Book PDF

Author : Andreas Holzinger,Peter Kieseberg,A. Min Tjoa,Edgar R. Weippl
Publisher : Unknown
Page : 128 pages
File Size : 44,8 Mb
Release : 2019
Category : Data mining
ISBN : 3030297276

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Machine Learning and Knowledge Extraction by Andreas Holzinger,Peter Kieseberg,A. Min Tjoa,Edgar R. Weippl Pdf

This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

Pavel Brazdil,Alípio Jorge
Progress in Artificial Intelligence Knowledge Extraction Multi agent Systems Logic Programming and Constraint Solving Book PDF

Author : Pavel Brazdil,Alípio Jorge
Publisher : Springer Science & Business Media
Page : 431 pages
File Size : 51,7 Mb
Release : 2001-12-05
Category : Computers
ISBN : 9783540430308

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Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving by Pavel Brazdil,Alípio Jorge Pdf

This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections on extraction of knowledge from databases, AI techniques for financial time series analysis, multi-agent systems, AI logics and logic programming, constraint satisfaction, and AI planning.

Machine Learning for Cyber Physical Systems

Jürgen Beyerer,Alexander Maier,Oliver Niggemann
Machine Learning for Cyber Physical Systems Book PDF

Author : Jürgen Beyerer,Alexander Maier,Oliver Niggemann
Publisher : Springer Nature
Page : 130 pages
File Size : 46,9 Mb
Release : 2020-12-23
Category : Technology & Engineering
ISBN : 9783662627464

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Machine Learning for Cyber Physical Systems by Jürgen Beyerer,Alexander Maier,Oliver Niggemann Pdf

This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

Pavel Brazdil,Alipio Jorge
Progress in Artificial Intelligence Knowledge Extraction Multi agent Systems Logic Programming and Constraint Solving Book PDF

Author : Pavel Brazdil,Alipio Jorge
Publisher : Springer
Page : 424 pages
File Size : 48,6 Mb
Release : 2003-07-31
Category : Computers
ISBN : 9783540453291

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Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving by Pavel Brazdil,Alipio Jorge Pdf

The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. It returned to the city in which the ?rst conference took place, about 15 years ago. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt). EPIA maintained its international character and continued to provide a forum for p- senting and discussing researc h on di?erent aspects of Arti?cial Intelligence. To promote motivated discussions among participants, this conference streng- ened the role of the thematic workshops. These were not just satellite events, but rather formed an integral part of the conference, with joint sessions when justi?ed. This had the advantage that the work was presented to a motivated audience. This was the ?rst time that EPIA embarked on this experience and so provided us with additional challenges.