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標(biāo)題: Titlebook: Database and Expert Systems Applications; 32nd International C Christine Strauss,Gabriele Kotsis,Ismail Khalil Conference proceedings 2021 [打印本頁]

作者: industrious    時(shí)間: 2025-3-21 19:41
書目名稱Database and Expert Systems Applications影響因子(影響力)




書目名稱Database and Expert Systems Applications影響因子(影響力)學(xué)科排名




書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度




書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database and Expert Systems Applications被引頻次




書目名稱Database and Expert Systems Applications被引頻次學(xué)科排名




書目名稱Database and Expert Systems Applications年度引用




書目名稱Database and Expert Systems Applications年度引用學(xué)科排名




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(xué)科排名





作者: Adenoma    時(shí)間: 2025-3-21 20:50
Fast SQL/Row Pattern Recognition Query Processing Using Parallel Primitives on GPUsar, many studies have focused on developing technology to perform SQL/RPR for large-scale sequence data, such as stock chart records and system logs. However, due to the large amount of data and complex calculation problems, the processing speeds of current methods are not sufficient. In this paper,
作者: 使混合    時(shí)間: 2025-3-22 02:16
Scalable Tabular Metadata Location and?Classification in Large-Scale Structured?Datasetsve thousands to millions of tables, but often have missing or incorrect labels for rows (or columns) with attribute names (e.g. .). Missing or incorrect metadata labels [.] prevent or at least significantly complicate the fundamental data management tasks such as ., and many other. Different sources
作者: 闡明    時(shí)間: 2025-3-22 05:08

作者: 多嘴    時(shí)間: 2025-3-22 09:00
Augmented Lineage: Traceability of Data Analysis Including Complex UDFsroposed to identify the source data from which the analysis results are derived, analysis is becoming increasingly complex both with regard to the target (e.g., images, videos, and texts) and technology (e.g., AI and machine learning). In such complex data analysis, simply showing the source data ma
作者: PARA    時(shí)間: 2025-3-22 15:30

作者: PARA    時(shí)間: 2025-3-22 19:14
A Quantum-Inspired Neural Network Model for Predictive BPaaS Managementa Service (BPaaS) model. In order to guarantee the consistency of the provisioned BPaaS, cloud providers should ensure a strategical management (e.g., allocation, migration, etc.) of their available resources (e.g., computation, storage, etc.) according to services requirements. Existing researches
作者: FELON    時(shí)間: 2025-3-23 00:47
Predicting Psychiatric Diseases Using AutoAI: A Performance Analysis Based on Health Insurance Billiificantly. Machine learning (ML) algorithms for improvement have been studied extensively, but automatic artificial intelligence (autoAI/autoML) has been widely neglected. AutoAI aims to automate the complete AI lifecycle to save data scientists from doing low-level coding tasks. Additionally, autoA
作者: PAN    時(shí)間: 2025-3-23 03:44
Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Miningisfying the advertising demands of an increased number of clients by means of exploiting the user trajectory data. Hence, we introduce the problem of billboard advertisement allocation for improving the billboard operator revenue, and propose an efficient user trajectory-based transactional framewor
作者: lipoatrophy    時(shí)間: 2025-3-23 07:44

作者: 擁擠前    時(shí)間: 2025-3-23 11:58

作者: Mammal    時(shí)間: 2025-3-23 15:40

作者: BARGE    時(shí)間: 2025-3-23 18:28
A Stochastic Block Model Based Approach to Detect Outliers in Networkstwork from a generative point of view and design a score able to highlight those nodes whose connection with the rest of the network violates in some way the law according to which the rest of the nodes are interconnected. The peculiarity of our approach is that no pre-defined notion of outlier is e
作者: 激怒某人    時(shí)間: 2025-3-23 22:18

作者: 先驅(qū)    時(shí)間: 2025-3-24 06:23
Diversified Pattern Mining on Large Graphsl the subgraphs (. patterns), with frequency above a user-defined threshold in a large graph. Though a host of techniques have been developed, most of them suffers from high computational cost and inconvenient result inspection. To tackle the issues, we propose an approach to discover diversified to
作者: 場(chǎng)所    時(shí)間: 2025-3-24 07:32

作者: maverick    時(shí)間: 2025-3-24 12:11
Tonje Hungnes,Adeline Holmedahl Hvidsteno solve the proposed optimization problem. Comparing to the state-of-the-art multiple kernel clustering methods, the experimental results on six multiple kernel benchmark datasets validate the effectiveness of our proposed UVSMKC, showing promising ability to capture consensus and view-specific info
作者: Hiatus    時(shí)間: 2025-3-24 17:27
https://doi.org/10.1007/978-3-030-17963-2cept of ., which is an extended lineage, and an efficient method to derive the augmented lineage for complex data analysis. We express complex data analysis flows using relational operators by combining user defined functions (UDFs). UDFs can represent invocations of AI/ML models within the data ana
作者: antedate    時(shí)間: 2025-3-24 21:23

作者: Ringworm    時(shí)間: 2025-3-24 23:27
Felicitas Holzer,Ignacio Mastroleo depression, post-traumatic stress disorder, and psychiatric disorders in general. We use health insurance billing data from 83,986 patients with a total of 687,697 ICD-10 coded diseases. The results of our research are as follows: (i) on average, an accuracy of 0.6 (F.–score 0.58) with a precision
作者: 反省    時(shí)間: 2025-3-25 06:44

作者: aviator    時(shí)間: 2025-3-25 09:20
Government Action to Tackle Obesityd; in the second strategy an ensemble model is developed from BERT variants, and in the third strategy a compressed model (Distil BERT) is used. The experimental results show that the BERT based ensemble approach and the compressed BERT model attain improvements by 6–12% over prevailing tools for th
作者: 飛來飛去真休    時(shí)間: 2025-3-25 13:04

作者: 護(hù)身符    時(shí)間: 2025-3-25 19:09
Scalable Tabular Metadata Location and?Classification in Large-Scale Structured?Datasetsle dataset containing more than 15 million tables coming from more than 26 thousands of sources to justify scalability and resistance to heterogeneity, stemming from a large number of sources. We observed superiority of this two-layer ensemble, compared to the recent previous approaches and report a
作者: Clinch    時(shí)間: 2025-3-25 23:45

作者: 上下倒置    時(shí)間: 2025-3-26 00:26

作者: strain    時(shí)間: 2025-3-26 05:49
A Quantum-Inspired Neural Network Model for Predictive BPaaS Managementenetic Algorithm, in order to optimize the accuracy of the predicted resource utilization. Second, we define a placement algorithm that, based on the prediction results, chooses the optimal cloud availability zones for each BPaaS fragment, i.e. under-loaded servers. We evaluated our approach using r
作者: spondylosis    時(shí)間: 2025-3-26 09:00

作者: 燦爛    時(shí)間: 2025-3-26 14:35

作者: 完成    時(shí)間: 2025-3-26 20:32
BERT-Based Sentiment Analysis: A Software Engineering Perspectived; in the second strategy an ensemble model is developed from BERT variants, and in the third strategy a compressed model (Distil BERT) is used. The experimental results show that the BERT based ensemble approach and the compressed BERT model attain improvements by 6–12% over prevailing tools for th
作者: Decibel    時(shí)間: 2025-3-27 00:12
Medical-Based Text Classification Using FastText Features and CNN-LSTM Model as CNN, support vector machines, decision trees, naive Bayes, and K-nearest neighbor. The performance of all used models were evaluated in terms of accuracy, precision, recall, and F1 score. The CNN-LSTM outperforms all other models in terms of all evaluation parameters and achieved 86.34%, 90.68%,
作者: ALB    時(shí)間: 2025-3-27 02:31

作者: Directed    時(shí)間: 2025-3-27 06:11

作者: Small-Intestine    時(shí)間: 2025-3-27 12:07
Reference Architecture for Running Large Scale Data Integration ExperimentsThis paper contributes a reference architecture of a reusable infrastructure for scientific experiments on data processing and data integration. The architecture is based on containerization and is integrated with an external machine learning cloud service to build performance models.
作者: 輕浮女    時(shí)間: 2025-3-27 16:50

作者: 闡釋    時(shí)間: 2025-3-27 20:20

作者: 瘋狂    時(shí)間: 2025-3-27 23:40
Ariane von Raesfeld,Elly van der Helmve thousands to millions of tables, but often have missing or incorrect labels for rows (or columns) with attribute names (e.g. .). Missing or incorrect metadata labels [.] prevent or at least significantly complicate the fundamental data management tasks such as ., and many other. Different sources
作者: BUCK    時(shí)間: 2025-3-28 05:46

作者: novelty    時(shí)間: 2025-3-28 08:15
https://doi.org/10.1007/978-3-030-17963-2roposed to identify the source data from which the analysis results are derived, analysis is becoming increasingly complex both with regard to the target (e.g., images, videos, and texts) and technology (e.g., AI and machine learning). In such complex data analysis, simply showing the source data ma
作者: 嫌惡    時(shí)間: 2025-3-28 13:11
Eduardo Rivera-López,Martin Heviahe Green Solow model, a neoclassical economics model for sustainable growth. Faced with the challenges posed by the coupling of the equations, the scarcity of data, and their auto-correlation, we devise several solutions. We present a baseline model and propose three models leveraging neural ordinar
作者: BROW    時(shí)間: 2025-3-28 14:57

作者: 榨取    時(shí)間: 2025-3-28 19:24

作者: Tempor    時(shí)間: 2025-3-29 00:39
Praveen Jeyaseelan,Amanda D. Hendersonisfying the advertising demands of an increased number of clients by means of exploiting the user trajectory data. Hence, we introduce the problem of billboard advertisement allocation for improving the billboard operator revenue, and propose an efficient user trajectory-based transactional framewor
作者: vascular    時(shí)間: 2025-3-29 03:55
Controversies in Neuro-Ophthalmic Management. After constructing a Japanese Twitter dataset, we extract feature vector for both text and emoji. Our experimental results show that the usage of BERT and emoji can help improve the performance of sarcasm detection.
作者: 托人看管    時(shí)間: 2025-3-29 09:28
Controversies in Neuro-Ophthalmic Managementrapidly increasing amount of legal documents available via electronic means. Legal documents, which can be considered flat file databases, contain information that can be used in a variety of ways, including arguments, counter-arguments, justifications, and evidence. As a result, developing automate
作者: 憤慨一下    時(shí)間: 2025-3-29 12:38

作者: 防銹    時(shí)間: 2025-3-29 18:05

作者: 無政府主義者    時(shí)間: 2025-3-29 22:42
Genetics and Epigenetics: Myths or Facts?ys an essential role in information retrieval and extraction, and has a wide range of applications in many areas. Many text classification techniques have been proposed, with promising results. However, to propose an efficient model, the particularity of the application domain also needs to be addre
作者: 委屈    時(shí)間: 2025-3-30 03:28
Research and Policy Controversiesl the subgraphs (. patterns), with frequency above a user-defined threshold in a large graph. Though a host of techniques have been developed, most of them suffers from high computational cost and inconvenient result inspection. To tackle the issues, we propose an approach to discover diversified to
作者: 影響深遠(yuǎn)    時(shí)間: 2025-3-30 07:01
Database and Expert Systems Applications978-3-030-86472-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: ANTE    時(shí)間: 2025-3-30 10:18
Controversies in Neuro-Ophthalmic Management. After constructing a Japanese Twitter dataset, we extract feature vector for both text and emoji. Our experimental results show that the usage of BERT and emoji can help improve the performance of sarcasm detection.
作者: 空洞    時(shí)間: 2025-3-30 12:32

作者: famine    時(shí)間: 2025-3-30 17:15
https://doi.org/10.1007/978-3-030-86472-9artificial intelligence; classification; computer networks; computer science; digital libraries; data min
作者: 沒血色    時(shí)間: 2025-3-31 00:14

作者: BOLUS    時(shí)間: 2025-3-31 01:13
Edward J. Coetzee,W. P. U. Jacksone way it performs the slicing in order to bring out discontinuous attribute intervals. The good performances of the approach are demonstrated by comparing, qualitatively and quantitatively, the results with the main algorithms that are the references in the domain.




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