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Machine Learning And Knowledge Extraction

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Machine Learning And Knowledge Extraction

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Author : Andreas Holzinger
language : en
Publisher: Springer Nature
Release Date : 2020-08-19

Machine Learning And Knowledge Extraction written by Andreas Holzinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-19 with Computers categories.

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

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Author : Andreas Holzinger
language : en
Publisher: Springer Nature
Release Date : 2019-08-22

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.

Towards Integrative Machine Learning And Knowledge Extraction

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Author : Andreas Holzinger
language : en
Publisher: Springer
Release Date : 2017-10-27

Towards Integrative Machine Learning And Knowledge Extraction written by Andreas Holzinger and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-27 with Computers categories.

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

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Author : Andreas Holzinger
language : en
Publisher: Springer
Release Date : 2018-08-23

Machine Learning And Knowledge Extraction written by Andreas Holzinger and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-23 with Computers categories.

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

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Author : Andreas Holzinger
language : en
Publisher: Springer Nature
Release Date : 2021-08-11

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.

Integration Of Information Extraction With Machine Learning Techniques For Text Mining

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Author : A. Christy
language : en
Publisher: Vandana Publications
Release Date :

Integration Of Information Extraction With Machine Learning Techniques For Text Mining written by A. Christy and has been published by Vandana Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Text Mining is a convergent field of Data Mining which deals with extracting relevant and useful part of the information from unstructured text documents and storing them in the structured form. The research work on Information Extraction started in 1979, by a Ph.D thesis submitted at Yale University. But, Information Extraction has got its focus only in 1990s by a series of Message Understanding Conferences conducted by US defense group, DARPA. Information Extraction is preferred by researchers because of its ability to extract specific part of the information with its timely delivery to decision makers and end-users. Information Extraction focusses on extracting the entities and facts from technical websites. The technical web pages often exist in the semi-structured form, in which each and every part of the content is stored as a block of information. Existing Supervised and Unsupervised learning algorithms are reviewed and new algorithms are proposed and implemented for extracting facts and entities from technical websites.

Machine Learning And Knowledge Extraction

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Author : Andreas Holzinger
language : en
Publisher:
Release Date : 2018

Machine Learning And Knowledge Extraction written by Andreas Holzinger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Data mining categories.

Machine Learning And Knowledge Extraction

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Author : Andreas Holzinger
language : en
Publisher: Springer Nature
Release Date : 2023-08-21

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.

Information Extraction

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Author : Sunita Sarawagi
language : en
Publisher: Now Publishers Inc
Release Date : 2008

Information Extraction written by Sunita Sarawagi and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.

Surveys over two decades of information extraction research from various communities such as computational linguistics, machine learning, databases and information retrieval.

Information Extraction Algorithms And Prospects In A Retrieval Context

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Author : Marie-Francine Moens
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-10

Information Extraction Algorithms And Prospects In A Retrieval Context written by Marie-Francine Moens and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-10 with Language Arts & Disciplines categories.

Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries. Advanced retrieval models satisfy that need and they rely on tools that automatically build a probabilistic model of the content of a (multi-media) document. The book focuses on content recognition in text. It elaborates on the past and current most successful algorithms and their application in a variety of domains (e.g., news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content.

Machine Learning And Knowledge Extraction

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