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Titlebook: Information Management and Big Data; 5th International Co Juan Antonio Lossio-Ventura,Denisse Mu?ante,Hugo A Conference proceedings 2019 Sp

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發(fā)表于 2025-3-21 17:21:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Information Management and Big Data
副標(biāo)題5th International Co
編輯Juan Antonio Lossio-Ventura,Denisse Mu?ante,Hugo A
視頻videohttp://file.papertrans.cn/466/465101/465101.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Information Management and Big Data; 5th International Co Juan Antonio Lossio-Ventura,Denisse Mu?ante,Hugo A Conference proceedings 2019 Sp
描述.This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018, held in Lima, Peru, in September 2018...The 34 papers presented were carefully reviewed and selected from 101 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; data mining; data security; image processing; image segmentation; machine learni
版次1
doihttps://doi.org/10.1007/978-3-030-11680-4
isbn_softcover978-3-030-11679-8
isbn_ebook978-3-030-11680-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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發(fā)表于 2025-3-21 22:44:07 | 只看該作者
Which Is the Tallest Building in Europe? Representing and Reasoning About Knowledge, utility of knowledge graphs, but can also lead to theoretical and/or practical tractability problems. In this papers we will briefly survey the relevant issues and possible solutions, and show that rule enhanced knowledge graphs are extremely powerful, can be given a formal logic-based semantics, and are highly scalable in practice.
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發(fā)表于 2025-3-22 03:45:03 | 只看該作者
A Case Study of Library Data Management: A New Method to Analyze Borrowing Behavior,oposed method for a university library in Peru where significant results were obtained in the form of association rules. This shows that it is a efficient alternative to have a more detailed knowledge to make better decisions.
地板
發(fā)表于 2025-3-22 08:09:40 | 只看該作者
Monitoring of Air Quality with Low-Cost Electrochemical Sensors and the Use of Artificial Neural Neediction of . and . levels, computational intelligence algorithms were applied and validated with experimental data. We proved that the use of Artificial Neural Networks (ANNs) has a high potential as a tool to use it as a forecast methodology in the area of air pollution.
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DETECTOR: Automatic Detection System for Terrorist Attack Trajectories, connection to antennas (i.e. Call Detail Records). Therefore, measuring trajectory similarity in CDRs generates different challenges compared to those similar metrics applied over GPS and video datasets.
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,Car Monitoring System in Apartments’ Garages by Small Autonomous Car Using Deep Learning,obot presents an indoor location system through the use of beacons that allow us to identify the position of the parking lot corresponding to each tenant of the building during the route of the robot.
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Word Embeddings and Deep Learning for Spanish Twitter Sentiment Analysis,nes three word embeddings representations, Convolutional Neural Networks and Recurrent Neural Networks. This setup allows us to obtain state-of-the-art results on the TASS/SEPLN 2017 Spanish Twitter benchmark dataset, in terms of accuracy and macro F1-measure.
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