Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 19th Principle and P Shiqing Wu,Wenli Yang,Guandong Xu Conference proceedings

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書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems影響因子(影響力)




書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems影響因子(影響力)學(xué)科排名




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書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems被引頻次




書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems被引頻次學(xué)科排名




書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems年度引用




書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems年度引用學(xué)科排名




書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems讀者反饋




書(shū)目名稱Knowledge Management and Acquisition for Intelligent Systems讀者反饋學(xué)科排名

Palpate

Conference proceedings 2023full papers and 2 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. They are organized in the topical section such as machine learning, natural language processing, and intelligent systems..

小說(shuō)

0302-9743 .. .The 9 full papers and 2 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. They are organized in the topical section such as machine learning, natural language processing, and intelligent systems..978-981-99-7854-0978-981-99-7855-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

信任

Indonesian Forest Fire Data Clustering Using Spatiotemporal Data Using Grid Density-Based Clusterinme. Grouping closest points into one cluster is the first step to map the data using IMSTAGRID algorithm. This algorithm is the adaptation of the grid density clustering method implemented for spatiotemporal data which provides a good clustering result with Silhouette values up to 0.8175.

NADIR

0302-9743 ld in conjunction with the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2023), in November 2023, in Jakarta, Indonesia.. .The 9 full papers and 2 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. They are organized

調(diào)味品

Folklore

爭(zhēng)議的蘋(píng)果

,An Assessment of?the?Influence of?Interaction and?Recommendation Approaches on?the?Formation of?Infatching, are implemented and evaluated. The experimental results reveal that although all three HCI approaches exacerbate the filter bubble effect, a strategically designed combination of certain recommendation algorithms and HCI approaches has the potential to promote a more diverse and balanced online information environment.

云狀

,Predicting Peak Demand Days for?Asthma-Related Emergency Hospitalisations: A Machine Learning Approther or disease outbreaks like COVID-19. The PPD algorithm employed in this model effectively forecasts asthma-related hospitalisations. Meteorological factors, air quality data, and Google trends constitute the sources utilised in building the model. Comparative analysis was conducted using various

神圣在玷污

,Discovering Maximal High Utility Co-location Patterns from?Spatial Data,te search space is not available in HUCP mining. Unnecessary candidates cannot be effectively pruned in advance. Thus, a new mining algorithm, which can effectively overcome the above problem, is proposed in this work. The algorithm first enumerates all maximal cliques of the input data set. Then it