出租车
发表于 2025-3-21 17:20:11
书目名称Big Data Analytics and Knowledge Discovery影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0185609<br><br> <br><br>书目名称Big Data Analytics and Knowledge Discovery读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0185609<br><br> <br><br>
漂白
发表于 2025-3-21 21:04:37
https://doi.org/10.1007/978-1-4842-6197-2luate the proposed method on synthetic and real-world datasets. While delivering comparable anomaly detection performance as the state-of-the-art approaches, STAD works more efficiently and provides extra interpretability.
obstruct
发表于 2025-3-22 00:26:17
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正式通知
发表于 2025-3-22 08:12:13
Bapi Chakraborty,Yashajeet Chowdhury for the user. Two algorithms are proposed to mine these patterns efficiently called HUGI (High Utility Gradual Itemsets mining), and HUGI-Merging, which extracts these patterns from both a negative and positive quantitative data separately and merges the obtained results. Experimental results show
情爱
发表于 2025-3-22 09:44:59
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废墟
发表于 2025-3-22 16:22:50
https://doi.org/10.1007/978-1-4842-6998-5ndividual or group level. We conduct quantitative experiments and sensitivity studies on the real-world clinical PBC dataset. The results demonstrate that the proposed fairness notations and debiasing algorithm are capable of guaranteeing fairness in the presence of accurate prediction.
nitroglycerin
发表于 2025-3-22 18:21:04
Introducing Ethereum and SolidityWe conduct exploratory analyses to understand our dataset’s characteristics and analyze useful patterns. We also experiment various state-of-the-art rumor classification methods to illustrate DAT@Z21’s usefulness, especially its visual components. Eventually, DAT@Z21 is available online at ..
surrogate
发表于 2025-3-22 21:23:13
EXOS: Explaining Outliers in Data Streamsorrelation within a data stream and across data streams to estimate the local context. The experiments using three real and two synthetic datasets show that, on average, EXOS achieves up to 49% higher F1 score and 29.6 times lower explanation time than existing algorithms.
lymphedema
发表于 2025-3-23 05:27:20
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奖牌
发表于 2025-3-23 09:25:00
Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregationsgate strategy to accurately preserve anomaly information, thereby alleviating the over-smoothing issue incurred by proximal feature aggregation. Our experiments comparing . against 10 baselines on real transaction datasets from PayPal demonstrate that . consistently outperforms all baselines in term