標題: Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 12th International J Ana Fred,David Aveiro,Joaquim Filipe Conference p [打印本頁] 作者: hierarchy 時間: 2025-3-21 17:57
書目名稱Knowledge Discovery, Knowledge Engineering and Knowledge Management影響因子(影響力)
書目名稱Knowledge Discovery, Knowledge Engineering and Knowledge Management影響因子(影響力)學(xué)科排名
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書目名稱Knowledge Discovery, Knowledge Engineering and Knowledge Management網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Knowledge Discovery, Knowledge Engineering and Knowledge Management被引頻次
書目名稱Knowledge Discovery, Knowledge Engineering and Knowledge Management被引頻次學(xué)科排名
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書目名稱Knowledge Discovery, Knowledge Engineering and Knowledge Management年度引用學(xué)科排名
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書目名稱Knowledge Discovery, Knowledge Engineering and Knowledge Management讀者反饋學(xué)科排名
作者: Ambiguous 時間: 2025-3-21 23:11 作者: notification 時間: 2025-3-22 02:45 作者: gerontocracy 時間: 2025-3-22 07:43
https://doi.org/10.1007/978-3-031-14602-2Computer Science; Informatics; Conference Proceedings; Research; Applications作者: Opponent 時間: 2025-3-22 09:45 作者: Yourself 時間: 2025-3-22 13:41
1865-0929 Knowledge Management, IC3K 2020, Virtual Event, November 2-4, 2020. The conference was held virtually due to the COVID-19 crisis..The 8 full papers included in this book were carefully reviewed and selected from 133 submissions..978-3-031-14601-5978-3-031-14602-2Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Gesture 時間: 2025-3-22 17:12 作者: largesse 時間: 2025-3-22 21:37
Weronika T. Adrian,Kornel Wilk,Marek Adrian,Krzysztof Kluza,Antoni Lig?za作者: 殺死 時間: 2025-3-23 01:33 作者: 被詛咒的人 時間: 2025-3-23 08:28 作者: 間諜活動 時間: 2025-3-23 12:27 作者: 悶熱 時間: 2025-3-23 17:00
A Novel Semi-supervised Clustering Algorithm: CoExDBSCAN,ased on the original DBSCAN algorithm and combines traditional, density-based clustering with techniques from subspace, correlation and constrained clustering methods. The correctness and usefulness of the algorithm, specifically for spatio-temporal data, is demonstrated on a synthetic dataset and a作者: 發(fā)生 時間: 2025-3-23 21:52
Context-Aware Knowledge Management as an Enabler for Human-Machine Collective Intelligence,, dynamic motivation mechanisms, and multidimensional ontology) in knowledge management for socio-cyber-physical systems. These trends can contribute to the creation of an innovative IT and HR environment based on the collective intelligence of humans and machines, where information and knowledge is作者: MILK 時間: 2025-3-23 22:32
Knowledge Sharing and Innovative Work Behavior: The Mediating Role of Task Knowledge,ring and service-based enterprises. The empirical result of our research confirms that knowledge sharing plays a significant positive impact on helping individuals to become more innovative in their workplace. Furthermore, it indicates a partial mediation of task knowledge in the relationship betwee作者: Generalize 時間: 2025-3-24 05:46 作者: regale 時間: 2025-3-24 06:54
Amharic Semantic Information Retrieval System,m for Amharic has been a challenging task due to limited resources coupled with complex morphology of the language. This paper presents the development of Amharic semantic IR system using query expansion based on deep neural learning model and WordNet. In order to optimize the retrieval result, we p作者: 不幸的人 時間: 2025-3-24 14:28 作者: 史前 時間: 2025-3-24 15:01
,Eliciting Semantic Types of?Legal Norms in?Korean Legislation with Deep Learning,o legal reasoning. Most approaches in the past consist of highly complex solutions that use annotated syntactic structures and grammar to distil rules. The current research trend is to utilise state-of-the-art natural language processing (NLP) approaches to automate these tasks, with minimum human i作者: justify 時間: 2025-3-24 20:46 作者: 愉快么 時間: 2025-3-24 23:38
Knowledge Sharing and Innovative Work Behavior: The Mediating Role of Task Knowledge,un is considered a challenging endeavor. From the perspective the social exchange theory and social capital theory, knowledge sharing is considered a primary driver to the organization innovativeness and employees’ innovation at individual level. The aim of this study is to examine how knowledge sha作者: Malaise 時間: 2025-3-25 06:18 作者: Instantaneous 時間: 2025-3-25 08:51 作者: 殺菌劑 時間: 2025-3-25 14:53 作者: 承認 時間: 2025-3-25 15:54
1865-0929 Knowledge Management, IC3K 2020, Virtual Event, November 2-4, 2020. The conference was held virtually due to the COVID-19 crisis..The 8 full papers included in this book were carefully reviewed and selected from 133 submissions..978-3-031-14601-5978-3-031-14602-2Series ISSN 1865-0929 Series E-ISSN 1作者: LINE 時間: 2025-3-25 20:33
,Eliciting Semantic Types of?Legal Norms in?Korean Legislation with Deep Learning,elled dataset formed by three korean acts, i.e., Insurance Business Act, Banking Act and Financial Holding Companies Act, of the Korean legislation (.) and a performance of . was reached. In contrast, several supervised machine learning based classifiers were implemented and a performance of F-measure = 0.99 was achieved.作者: 商談 時間: 2025-3-26 03:55 作者: 你不公正 時間: 2025-3-26 08:09 作者: molest 時間: 2025-3-26 08:28 作者: slow-wave-sleep 時間: 2025-3-26 15:06 作者: conference 時間: 2025-3-26 20:07
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