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Titlebook: Data Science – Analytics and Applications; Proceedings of the 2 Peter Haber,Thomas Lampoltshammer,Manfred Mayr Conference proceedings 2019

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发表于 2025-3-21 18:58:46 | 显示全部楼层 |阅读模式
书目名称Data Science – Analytics and Applications
副标题Proceedings of the 2
编辑Peter Haber,Thomas Lampoltshammer,Manfred Mayr
视频video
概述Aktuelle Data Science Themen.Spezifische Data Science Fragestellungen.In einem Werk konzentriert
图书封面Titlebook: Data Science – Analytics and Applications; Proceedings of the 2 Peter Haber,Thomas Lampoltshammer,Manfred Mayr Conference proceedings 2019
描述.This book offers the proceedings of the Second International Data Science Conference (iDSC2019), organized by Salzburg University of Applied Sciences, Austria. The Conference brought together researchers, scientists, and business experts to discuss new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The papers gathered here include case studies of applied techniques, and theoretical papers that push the field into the future. The full-length scientific-track papers on Data Analytics are broadly grouped by category, including Complexity; NLP and Semantics; Modelling; and Comprehensibility..Included among real-world applications of data science are papers on..Exploring insider trading using hypernetworks.Data-driven approach to detection of autism spectrum disorder.Anonymization and sentiment analysis of Twitter posts..Theoretical papers in the book cover such topics as Optimal Regression Tree Models Through Mixed Integer Programming; Chance Influence in Datasets with Large Number of Features; Adversarial Networks — A Technology for Image Augmentation; an
出版日期Conference proceedings 2019
关键词artificial intelligence; TensorFlow; Data Science; machine learning; Data Analytics; Data mining; Cloudera
版次1
doihttps://doi.org/10.1007/978-3-658-27495-5
isbn_ebook978-3-658-27495-5
copyrightDer/die Herausgeber bzw. der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden Gmb
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Der/die Herausgeber bzw. der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden Gmb
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Yasuhiro Ishihara,Koichi Takeuchiesized that insiders who trade at similar times share information. We analyze 400 companies and 2,000 insiders, identifying interesting trading patterns in these networks that are suggestive of illegal activity. Insiders are classified as either routine or opportunistic traders, allowing us to conce
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Yasuhiro Ishihara,Koichi Takeuchi. Such configuration promotes the influence of chance on the learning process as well as on the evaluation. Prior research underlined the problem of generalization of models obtained based on such data. In this paper, we deeply investigate the influence of chance on classification and regression. We
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Yasuhiro Ishihara,Koichi Takeuchithough, there are studies about finding duplicate or near-duplicate documents in several domains, none focus on grouping news texts based on their events or sources. A particular event can be narrated from very different perspectives with different words, concepts, and sentiment due to the different
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https://doi.org/10.1007/978-981-10-0515-2 feature selection is often achieved by removing common stop words. In order to more drastically reduce the number of input features, actual feature selection methods such as Mutual Information or Chi-Squared are used on a count-based input representation. We suggest a task-oriented approach to sele
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Suzushi Tomori,Yugo Murawaki,Shinsuke Moriis present in form of including citizens into the decision-making process. This can be done via various forms of E-Participation, with active/passive citizen-sourcing as one way to tap into current discussions about topics and issues of relevance towards the general public. An increased understandin
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Sam Bigeard,Frantz Thiessard,Natalia Grabarres the relationship between the variables is fitted to the data. Tree regression models are popular in the literature due to their ability to be computed quickly and their simple interpretations. However, creating complex tree structures can lead to overfitting the training data resulting in a poor
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Lisa Beinborn,Samira Abnar,Rochelle Choenniaper discusses the underlying methodologies of calculating Heating Energy demand of buildings and the rationale for potential zones for thermal energy systems. In order to simulate the effects of public policies on communities the authors developed a spatial Agentbased Model, where the buildings are
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