浅吟低唱
发表于 2025-3-21 17:31:13
书目名称Knowledge Management and Acquisition for Intelligent Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0543965<br><br> <br><br>书目名称Knowledge Management and Acquisition for Intelligent Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0543965<br><br> <br><br>
Palpate
发表于 2025-3-22 00:04:58
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..
小说
发表于 2025-3-22 03:48:03
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
发表于 2025-3-22 04:45:07
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
发表于 2025-3-22 11:38:24
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
调味品
发表于 2025-3-22 16:51:33
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Folklore
发表于 2025-3-22 20:00:25
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争议的苹果
发表于 2025-3-22 23:59:57
,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.
云状
发表于 2025-3-23 05:06:02
,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
发表于 2025-3-23 08:51:35
,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