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標(biāo)題: Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author( [打印本頁(yè)]

作者: Constrict    時(shí)間: 2025-3-21 20:05
書目名稱Data Mining and Big Data影響因子(影響力)




書目名稱Data Mining and Big Data影響因子(影響力)學(xué)科排名




書目名稱Data Mining and Big Data網(wǎng)絡(luò)公開度




書目名稱Data Mining and Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Mining and Big Data被引頻次




書目名稱Data Mining and Big Data被引頻次學(xué)科排名




書目名稱Data Mining and Big Data年度引用




書目名稱Data Mining and Big Data年度引用學(xué)科排名




書目名稱Data Mining and Big Data讀者反饋




書目名稱Data Mining and Big Data讀者反饋學(xué)科排名





作者: 問到了燒瓶    時(shí)間: 2025-3-21 23:49

作者: Anthropoid    時(shí)間: 2025-3-22 02:16
Query Reverse Engineering of?Pre-deleted Uncorrelated Operatorsnthesis rate of PdQRE improved from 80.0% to 89.1%, and the average synthesis time was reduced from 251?s to 127?s compared to SQUARES. Comparison with Scythe et al. in the . dataset shows that PdQRE outperforms other models in ..
作者: 動(dòng)作謎    時(shí)間: 2025-3-22 06:39

作者: vanquish    時(shí)間: 2025-3-22 10:37
Conference proceedings 2024 December 2023.. The 38 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 79 submissions.. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many a
作者: 安心地散步    時(shí)間: 2025-3-22 13:30
Conference proceedings 2024The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc..
作者: 安心地散步    時(shí)間: 2025-3-22 20:32
1865-0929 ers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc..978-981-97-0843-7978-981-97-0844-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: 親愛    時(shí)間: 2025-3-22 22:15

作者: 出汗    時(shí)間: 2025-3-23 01:29

作者: 挑剔為人    時(shí)間: 2025-3-23 08:15

作者: 本能    時(shí)間: 2025-3-23 12:11

作者: GEN    時(shí)間: 2025-3-23 14:28
No-Reference Quality Assessment for HDR Images Based on Multi-scale Retinex Decompositionl scene statistics (NSS) from the reflectance and luminance maps, respectively. Finally, all features are fused by support vector regression (SVR) for score prediction. Experimental results on two databases demonstrate the superiority of the proposed method over the other state-of-the-arts for HDR IQA.
作者: CAPE    時(shí)間: 2025-3-23 21:36

作者: 黃油沒有    時(shí)間: 2025-3-24 02:03
Research on the Meta Synthesis Model of Strategic Risk Management for the Complex Weapon Equipment Sed to the practice of strategic risk management for a certain type of complex weapon equipment system development, The results indicate that this model can provide effective theoretical support and methodological guidance for the practical application of strategic risk management in the complex weapon equipment systems development.
作者: Affirm    時(shí)間: 2025-3-24 04:21

作者: Audiometry    時(shí)間: 2025-3-24 07:21
1865-0929 China, in December 2023.. The 38 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 79 submissions.. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume cov
作者: Catheter    時(shí)間: 2025-3-24 11:11
Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262924.jpg
作者: geometrician    時(shí)間: 2025-3-24 17:38

作者: 側(cè)面左右    時(shí)間: 2025-3-24 19:36
978-981-97-0843-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: FRAX-tool    時(shí)間: 2025-3-25 01:25

作者: 被告    時(shí)間: 2025-3-25 05:57

作者: Grievance    時(shí)間: 2025-3-25 09:17
Shashank S. Tiwari,Paul Martin,Sujatha Ramanmethods, SQL reverse synthesis emerged as a crucial branch in the field of data analysis and became a research hot spot for applying artificial intelligence in the database domain. Program synthesis can be categorized into different types based on various requirements. This paper primarily focuses o
作者: 集中營(yíng)    時(shí)間: 2025-3-25 13:56

作者: 持久    時(shí)間: 2025-3-25 17:04

作者: 滔滔不絕地講    時(shí)間: 2025-3-25 20:26

作者: Trochlea    時(shí)間: 2025-3-26 01:54
Lecture Notes in Civil Engineering productivity. The SBM-GML model is employed to measure the green total factor productivity and its decomposition value of the manufacturing industry using the panel data of 27 manufacturing sub-sectors in China from 2016 to 2020. Then to investigate the nonlinear relationship between environmental
作者: forager    時(shí)間: 2025-3-26 04:45

作者: 制定法律    時(shí)間: 2025-3-26 10:41
https://doi.org/10.1007/978-3-030-98092-4d based on Bert pre-trained language model. First, we studied practical combat scenarios and military related websites, and constructed a military domain combat intent dataset that includes structured information such as combat categories, objects, and scenarios. Second, we utilize Bert pre-trained
作者: Connotation    時(shí)間: 2025-3-26 15:02

作者: 光滑    時(shí)間: 2025-3-26 19:28

作者: 內(nèi)疚    時(shí)間: 2025-3-27 00:16
John McDermid,Martyn Thomas,Felix Redmilluccessful AI applications with the help of knowledge graphs. High-quality knowledge graphs are often built with a domain ontology, which is known to be a tedious and manual intensive task. Well-designed Relational Databases (RDBs) is an important source for obtaining ontologies and knowledge graphs.
作者: Pulmonary-Veins    時(shí)間: 2025-3-27 02:57

作者: maudtin    時(shí)間: 2025-3-27 09:14

作者: DEMUR    時(shí)間: 2025-3-27 11:58

作者: Glutinous    時(shí)間: 2025-3-27 15:52
J?rn Stuphorn,Bernd Sieker,Peter B. Ladkintegration and management capabilities of computing power, data, algorithm, and AI framework required for AI computing. It also tackles the difficulty of sharing, discovery, and flexible scheduling of distributed computing resources under the condition of storage-computing separation architecture. Th
作者: anus928    時(shí)間: 2025-3-27 19:11
Data Mining and Big Data978-981-97-0844-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: 高度表    時(shí)間: 2025-3-27 23:12
A Local Interpretability Model-Based Approach for Black-Box Adversarial Attacke whole example, and added perturbations may be large and easily detected by human eyes. This study proposes a Local Interpretable Model-agnostic Explanations (LIME)-based approach for black-box adversarial Attack (LIME-Attack). The approach can reduce the size of perturbations via adding perturbati
作者: Glucose    時(shí)間: 2025-3-28 05:32
FirewaLLM: A Portable Data Protection and?Recovery Framework for?LLM Services regarding user privacy. These large language models possess the potential to inadvertently expose sensitive information, encompassing personal identities, health particulars, and financial data. The inadvertent exposure and misuse of such information can lead to significant privacy breaches, thereb
作者: 幾何學(xué)家    時(shí)間: 2025-3-28 08:28

作者: 說明    時(shí)間: 2025-3-28 12:18
Query Reverse Engineering of?Pre-deleted Uncorrelated Operatorsto write complex programs, especially query statements. Query Reverse Engineering solves the problem of deriving query statements from the database and the desired output table in reverse. SQUARES, which is based on Domain-Specific Languages (DSL), is one of the most advanced models in this field. H
作者: tendinitis    時(shí)間: 2025-3-28 17:58
No-Reference Quality Assessment for HDR Images Based on Multi-scale Retinex DecompositionR) images, HDR images contain significantly higher peak luminance and contrast, making traditional LDR image quality assessment (IQA) metrics inefficient for HDR image applications. Towards developing HDR IQA, we propose a new no-reference metric based on Retinex decomposition. First, multi-scale Re
作者: 最后一個(gè)    時(shí)間: 2025-3-28 19:43
Node Importance-Based Semi-supervised Nonnegative Matrix Factorization for?Image Clusteringal NMF is unsupervised and cannot fully utilize the label information. In this research, we propose a joint feature representation and node importance propagation framework called semi-supervised nonnegative matrix factorization based on node importance (NISNMF). Firstly, by considering the overlap
作者: Cursory    時(shí)間: 2025-3-29 02:17
An Empirical Study on the Impact of Environmental Policies on Green Total Factor Productivity of Man productivity. The SBM-GML model is employed to measure the green total factor productivity and its decomposition value of the manufacturing industry using the panel data of 27 manufacturing sub-sectors in China from 2016 to 2020. Then to investigate the nonlinear relationship between environmental
作者: 沙文主義    時(shí)間: 2025-3-29 06:58
Construction of Digital Twin Battlefield with Command and Control as the Coreonstruction are gradually increasing. Currently, we are facing with the problem that the models with command and control elements in digital twin battlefield are relatively weak. The combat process in real battlefield can’t be fully mapped by digital twin battlefield. The method of command and contr
作者: 熱情的我    時(shí)間: 2025-3-29 10:53

作者: Defraud    時(shí)間: 2025-3-29 11:53

作者: Engaging    時(shí)間: 2025-3-29 15:38

作者: amnesia    時(shí)間: 2025-3-29 19:59
A New Approach for?Ontology Generation from?Relational Data Design Patternsuccessful AI applications with the help of knowledge graphs. High-quality knowledge graphs are often built with a domain ontology, which is known to be a tedious and manual intensive task. Well-designed Relational Databases (RDBs) is an important source for obtaining ontologies and knowledge graphs.
作者: Carcinogenesis    時(shí)間: 2025-3-30 00:54

作者: MIME    時(shí)間: 2025-3-30 06:11
Research on the Meta Synthesis Model of Strategic Risk Management for the Complex Weapon Equipment Sand process of strategic risk management for the complex weapon equipment systems were analyzed development. Then, the Hall three-dimensional structure theory was used to construct the three-dimensional system structure of strategic risk management for the complex weapon equipment systems developmen
作者: 香料    時(shí)間: 2025-3-30 12:01
A Service-Oriented Data Sharing and?Exchange Models, and security access requirements between different systems, cross-system data sharing and exchange face various difficulties in reality. To this end, we propose a service-oriented data sharing and exchange model aimed at solving the difficulties encountered in data sharing and exchange. This mode
作者: 有毒    時(shí)間: 2025-3-30 15:50

作者: 呼吸    時(shí)間: 2025-3-30 18:41

作者: LIEN    時(shí)間: 2025-3-30 22:55

作者: 索賠    時(shí)間: 2025-3-31 02:02

作者: Relinquish    時(shí)間: 2025-3-31 06:46
Node Importance-Based Semi-supervised Nonnegative Matrix Factorization for?Image Clusteringesigned and its convergence is proved. Experimental results in a large number of image clustering tasks verify the superiority of the algorithm. In addition, the accuracy, parameters and sensitivity of the algorithm are also experimentally investigated.
作者: Fraudulent    時(shí)間: 2025-3-31 13:14

作者: detach    時(shí)間: 2025-3-31 13:28

作者: Pageant    時(shí)間: 2025-3-31 21:04

作者: 身心疲憊    時(shí)間: 2025-3-31 22:04

作者: SOB    時(shí)間: 2025-4-1 04:10
A New Approach for?Ontology Generation from?Relational Data Design Patternswhich should be reconstructed into the ontology. This paper studies how typical DDPs could be recognized and how to extract ontologies from such DDPs. We focus on the JC3IEDM database, a rigorously-designed RDB in the field of joint operation, which is a widely-accepted industrial standard. Through
作者: hereditary    時(shí)間: 2025-4-1 08:46
Mining Maximal High Utility Co-location Patterns from?Large-Scale Spatial Dataently discover maximal HUCPs, this work adopts a clique-hash table-based top-down traversal mining method. First, all neighboring instances are enumerated by a set of maximal cliques. Then these cliques are further arranged into a hash table structure. After that, the mining process iterates all the




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