標題: Titlebook: Database and Expert Systems Applications; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202 [打印本頁] 作者: palliative 時間: 2025-3-21 16:22
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書目名稱Database and Expert Systems Applications讀者反饋
書目名稱Database and Expert Systems Applications讀者反饋學科排名
作者: Glucocorticoids 時間: 2025-3-21 22:03 作者: Ceremony 時間: 2025-3-22 01:45 作者: MAIZE 時間: 2025-3-22 06:22 作者: 不能強迫我 時間: 2025-3-22 09:55 作者: 沙文主義 時間: 2025-3-22 14:33 作者: 沙文主義 時間: 2025-3-22 18:26
https://doi.org/10.1007/978-1-4614-4388-9 Time-series forecasting has been extensively studied. Many existing forecasting models tend to perform well when predicting short sequence time-series. However, their performances greatly degrade when dealing with the long one. Recently, more dedicated research has been done for this direction, and作者: 細頸瓶 時間: 2025-3-22 21:56 作者: 抓住他投降 時間: 2025-3-23 02:53
David Roessner,Lynne Manrique,Jongwon ParkFrom a developer’s point of view, we want to use a framework to automate creating persistent storage models and to map the entities between storage and backend. However, not all such frameworks offer sufficient authorization support. From a scientist’s perspective, we want to generally combine the f作者: acheon 時間: 2025-3-23 06:39
https://doi.org/10.1007/978-1-4614-4388-9opment of recurrent neural networks enables systems to better process sequence information to capture users’ long-term preferences. While it cannot effectively utilize both long-term and short-term preferences. In this paper, we propose a novel double-layer attention mechanism mode, which not only i作者: LAY 時間: 2025-3-23 10:11 作者: 拋媚眼 時間: 2025-3-23 15:40 作者: chastise 時間: 2025-3-23 20:36 作者: 正論 時間: 2025-3-24 01:09 作者: Glutinous 時間: 2025-3-24 04:07
Cooperative Robots and Sensor Networks 2014h an asymmetric number of instances of different classes. This paper considers the binary classification task in the case of a short unbalanced set of medical data. The authors improved the implementation of the Probabilistic Neural Network (I-PNN). It is based on a new method of forming the outputs作者: 保守黨 時間: 2025-3-24 09:24 作者: RUPT 時間: 2025-3-24 13:56
Cooperative Robots and Sensor Networks 2014le in many domains such as credit card fraud identification, network intrusion detection, medical image processing and so on. The inherent class imbalance in datasets is one of the major reasons why this problem is difficult to solve. The small number of outliers are not adequate to characterize the作者: Adulterate 時間: 2025-3-24 15:39 作者: Ardent 時間: 2025-3-24 20:23 作者: ANT 時間: 2025-3-25 02:37
978-3-031-12425-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 易于交談 時間: 2025-3-25 05:12
A Knowledge-Driven Business Process Analysis Methodologyformation system development. This paper proposes a knowledge framework, referred to as BPA Canvas, primarily conceived to guide business people in building a BPA knowledge base. The resulting knowledge base is organized into eight sections where only the last one, the BPA ontology, requires specialist competences.作者: 溫和女孩 時間: 2025-3-25 07:57
Clustering-Based Cross-Sectional Regime Identification for?Financial Market Forecastingial system. A regime can be defined as a specific group of complex patterns that share common characteristics in a specific time interval. Regime switch, caused by external and/or internal drivers, refers to the changing behaviors exhibited by a system at a specific time point. The existing regime d作者: 散布 時間: 2025-3-25 15:02
Alps: An Adaptive Load Partitioning Scaling Solution for?Stream Processing System on?Skewed Stream the impact of rate variation, but cannot maintain high performance with a low overhead when input stream is skewed. To solve this issue, we propose Alps, an Adaptive Load Partitioning Scaling system. Alps exploits adaptive partitioning scaling algorithm based on the willingness function to determin作者: Anthology 時間: 2025-3-25 18:10 作者: 遭遇 時間: 2025-3-25 21:02
InTrans: Fast Incremental Transformer for?Time Series Data Prediction Time-series forecasting has been extensively studied. Many existing forecasting models tend to perform well when predicting short sequence time-series. However, their performances greatly degrade when dealing with the long one. Recently, more dedicated research has been done for this direction, and作者: 粗語 時間: 2025-3-26 01:24 作者: monologue 時間: 2025-3-26 08:09 作者: Musket 時間: 2025-3-26 08:46
Sequence Recommendation Model with Double-Layer Attention Netopment of recurrent neural networks enables systems to better process sequence information to capture users’ long-term preferences. While it cannot effectively utilize both long-term and short-term preferences. In this paper, we propose a novel double-layer attention mechanism mode, which not only i作者: 努力趕上 時間: 2025-3-26 12:39 作者: Mawkish 時間: 2025-3-26 19:24 作者: FOIL 時間: 2025-3-27 01:02
Comparison of?Sequence Variants and?the?Application in?Electronic Medical Records of sequence variants is an important problem in practical applications. To conduct comparisons, it is necessary to detect the common and uncommon parts of sequence variants, but a suitable method is not available. In this study, we developed a method for comparing sequence variants by providing app作者: 疲憊的老馬 時間: 2025-3-27 01:51 作者: prostatitis 時間: 2025-3-27 06:12 作者: 巨大沒有 時間: 2025-3-27 10:27 作者: 是貪求 時間: 2025-3-27 16:10
Effective and?Robust Boundary-Based Outlier Detection Using Generative Adversarial Networksle in many domains such as credit card fraud identification, network intrusion detection, medical image processing and so on. The inherent class imbalance in datasets is one of the major reasons why this problem is difficult to solve. The small number of outliers are not adequate to characterize the作者: Commonplace 時間: 2025-3-27 20:03 作者: 正式演說 時間: 2025-3-27 22:26
https://doi.org/10.1007/978-3-642-86003-4manner. In addition, Alps achieves the outstanding performance of distributed stream processing system with the least overhead. Compared with state-of-the-art scaling approach DS2, Alps reduces the end-to-end latency by 2 orders of magnitude on high-speed skewed stream and avoids the waste of resources on low-speed or balanced stream.作者: 不能逃避 時間: 2025-3-28 03:27
https://doi.org/10.1007/978-1-4614-4388-9ing the prediction bias caused by mis-click. The proposed model is experimented on MovieLens, Amazon video game and Amazon digital music datasets, and the results show that our model achieves the best performance in all datasets.作者: 征稅 時間: 2025-3-28 06:33
https://doi.org/10.1007/978-94-009-2522-9 model on the NTU RGB-D datasets, and the experimental results demonstrate the superiority of our model against other baseline methods in terms of recognition effectiveness in understanding mutual actions.作者: PAC 時間: 2025-3-28 14:02 作者: kindred 時間: 2025-3-28 15:40 作者: 污點 時間: 2025-3-28 20:23 作者: 愛社交 時間: 2025-3-29 02:27 作者: Cirrhosis 時間: 2025-3-29 05:51 作者: 后天習得 時間: 2025-3-29 10:45 作者: Ligament 時間: 2025-3-29 13:34 作者: BIPED 時間: 2025-3-29 18:23
David Roessner,Lynne Manrique,Jongwon Park to inadvertently introduce security vulnerabilities. The request is modified by adding a filter to return only authorized entities. Filtering directly in the storage saves performance and bandwidth besides reducing development and maintenance effort.作者: Contracture 時間: 2025-3-29 21:20
Denis O. Gray,Craig Boardman,Drew Riversl in the graph domain based on seismic amplitude similarity. Then, we apply GAT to classify the faults. Both the training and testing sets contain both synthetic and real data. The proposed methodology gives good accuracy when applied to field data.作者: GREG 時間: 2025-3-30 02:19 作者: 責任 時間: 2025-3-30 04:09 作者: 老巫婆 時間: 2025-3-30 09:18
Fault Detection in?Seismic Data Using Graph Attention Networkl in the graph domain based on seismic amplitude similarity. Then, we apply GAT to classify the faults. Both the training and testing sets contain both synthetic and real data. The proposed methodology gives good accuracy when applied to field data.作者: negotiable 時間: 2025-3-30 15:17 作者: 字的誤用 時間: 2025-3-30 20:06
Reconciliation of?Mental Concepts with?Graph Neural Networksdict structures in the form of usage links with high accuracy and assist in the reconstruction of missing information. We evaluate this model on a new knowledge management dataset and show that it is superior to traditional embedding methods. Further, we show that it outperforms related work in an established general link prediction task.作者: 討人喜歡 時間: 2025-3-30 21:10 作者: Trabeculoplasty 時間: 2025-3-31 01:47
Clustering-Based Cross-Sectional Regime Identification for?Financial Market Forecasting market forecasting. Our approach makes use of a nonlinear model to account for the cross-sectional regime dependencies, neglected by most existing studies, that can improve the performance of a forecasting model significantly. Experimental results on both synthetic and real-world dataset demonstrat
