標(biāo)題: Titlebook: Big Data Analytics and Knowledge Discovery; 26th International C Robert Wrembel,Silvia Chiusano,Ismail Khalil Conference proceedings 2024 T [打印本頁] 作者: Corrugate 時間: 2025-3-21 18:01
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書目名稱Big Data Analytics and Knowledge Discovery網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data Analytics and Knowledge Discovery被引頻次
書目名稱Big Data Analytics and Knowledge Discovery被引頻次學(xué)科排名
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書目名稱Big Data Analytics and Knowledge Discovery讀者反饋
書目名稱Big Data Analytics and Knowledge Discovery讀者反饋學(xué)科排名
作者: 委托 時間: 2025-3-21 20:56 作者: EXTOL 時間: 2025-3-22 04:23
Learning Paradigms and?Modelling Methodologies for?Digital Twins in?Process Industry the process industry are a novel contribution in this field. This study aims to address these gaps by (1) systematically analyzing the modelling methodologies (e.g. Convolutional Neural Network, Encoder-Decoder, Hidden Markov Model) and paradigms (e.g. data-driven, physics-based, hybrid) used for D作者: 謊言 時間: 2025-3-22 05:35
MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in?Multitah task before computing the overall loss. Empirically, we observe regulatory effects on the model’s variance. Lastly, we analyze the carbon impact of fine-tuning different systems. Results are promising: our approach generalizes over eight GEM benchmarking tasks while reducing . emissions by 85.0%.作者: 無效 時間: 2025-3-22 10:36 作者: HERE 時間: 2025-3-22 15:07 作者: 上漲 時間: 2025-3-22 21:07 作者: Indigence 時間: 2025-3-22 22:44
Exploring Causal Chain Identification: Comprehensive Insights from?Text and?Knowledge Graphsate the semantic continuity of chains within established knowledge graphs, we curate a chain-structured dataset, highlighting both causal relations and multiple non-causal relations, i.e. . and ., termed .. We noticed that the longer the chains, the fewer instances of existence. However, contrary to作者: gonioscopy 時間: 2025-3-23 03:03
Improving Serendipity for?Collaborative Metric Learning Based on?Mutual Proximityalled collaborative metric learning. The proposed method improves existing techniques by refining the embedding space search algorithm, reducing the bias toward popular items in recommendations without altering the original embedding space, thereby enabling users to achieve serendipity. Furthermore,作者: 遷移 時間: 2025-3-23 06:24 作者: 蒼白 時間: 2025-3-23 12:57
https://doi.org/10.1007/978-981-99-9400-7daptive learning algorithm called .. At the core of . is an exponential smoothing method which takes a sequence of observations to estimate index benefits for future queries with unknown distribution. . enjoys a fast convergence rate and has low memory cost. We further design optimizations for . to 作者: brachial-plexus 時間: 2025-3-23 14:48 作者: DEAWL 時間: 2025-3-23 20:56
Microwave Schottky Barrier Diodes, the process industry are a novel contribution in this field. This study aims to address these gaps by (1) systematically analyzing the modelling methodologies (e.g. Convolutional Neural Network, Encoder-Decoder, Hidden Markov Model) and paradigms (e.g. data-driven, physics-based, hybrid) used for D作者: 箴言 時間: 2025-3-24 02:04 作者: frenzy 時間: 2025-3-24 04:35 作者: outset 時間: 2025-3-24 08:47
H. John Cooper,Joshua J. Jacobst both the training and inference phases. We analyse and evaluate the performance of the chosen models and parameters on a classic Malaria dataset. Results confirm that highly sparse ANNs (., 70%) can achieve results comparable to their fully-connected counterparts while allowing for smaller models 作者: MULTI 時間: 2025-3-24 12:44 作者: 親屬 時間: 2025-3-24 17:11
Electroconductive Polymer/Metal Composites,ate the semantic continuity of chains within established knowledge graphs, we curate a chain-structured dataset, highlighting both causal relations and multiple non-causal relations, i.e. . and ., termed .. We noticed that the longer the chains, the fewer instances of existence. However, contrary to作者: 整頓 時間: 2025-3-24 20:27 作者: Nonflammable 時間: 2025-3-25 00:37 作者: Anemia 時間: 2025-3-25 04:07 作者: 取回 時間: 2025-3-25 10:41
IDAGEmb: An Incremental Data Alignment Based on?Graph Embedding and integration complexities. These challenges impact on decision-making and data integration processes. We define data alignment as the process of aligning columns from different tabular sources using their schema and instances. Data alignment is emerging as an essential solution, ensuring data co作者: Jejune 時間: 2025-3-25 12:18 作者: 規(guī)范就好 時間: 2025-3-25 19:18
MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in?Multitaeous data formats refer to the same real-world entity. State-of-the-art single-task fine-tuning approaches have shown limitations in handling scenarios with entity distribution shifts, particularly in low-resource settings, and can also require significant amounts of computationally expensive fine-t作者: Ventricle 時間: 2025-3-26 00:02 作者: 殘酷的地方 時間: 2025-3-26 01:06 作者: 惹人反感 時間: 2025-3-26 07:33 作者: 結(jié)果 時間: 2025-3-26 11:28
Evaluation of?High Sparsity Strategies for?Efficient Binary Classificatione-constrained environments, the strategic sparsification of neural networks takes center stage. In this work, we investigate creating, training, and evaluating Convolutional Neural Network (CNN), DenseNet, and ResNet models taking advantage of sparse neural networks with the help of the Sparse Evolu作者: Foreshadow 時間: 2025-3-26 13:32 作者: neologism 時間: 2025-3-26 17:27
Exploring Evaluation Metrics for?Binary Classification in?Data Analysis: the?Worthiness Benchmark Cocation models, making it essential to analyze and compare these metrics to select the most appropriate one. Despite significant research, a comprehensive comparison of these metrics has not been adequately addressed. The effectiveness of classification models is typically represented by a confusion 作者: 夾死提手勢 時間: 2025-3-26 23:10
Exploring Causal Chain Identification: Comprehensive Insights from?Text and?Knowledge Graphss to depict a logical pathway, which is also beneficial in preventing ambiguity problems during text generation. However, most causal chains tend to lose their causal meaning after multiple hops, also this phenomenon occurs in other chains of relations. To discriminate the broken linkage in chain de作者: Conscientious 時間: 2025-3-27 02:13
Towards Regional Explanations with?Validity Domains for?Local Explanationsxplanations are of major interest because they are intelligible and claim to be locally faithful to the machine learning model. However, there is no guarantee that these explanations can apply to new similar observations. This raises questions about the usefulness of acquired knowledge through such 作者: 誘惑 時間: 2025-3-27 08:26 作者: Receive 時間: 2025-3-27 13:15 作者: 文件夾 時間: 2025-3-27 16:10
Ada2vec: Adaptive Representation Learning for?Large-Scale Dynamic Heterogeneous Networksuts to various downstream machine learning tasks, such as classification, clustering and similarity search. The research area has attracted great interest and effort in recent years. However, due to its complexity, few of the existing representation learning methods have been developed for dynamic h作者: FRAX-tool 時間: 2025-3-27 19:36
0302-9743 too place in Naples, Italy, during August 26-28, 2024.?..The 16 full and 20 short papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Modeling and design; entity matching and similarity; classification; machine l作者: 發(fā)微光 時間: 2025-3-28 01:17 作者: Acupressure 時間: 2025-3-28 04:53
0302-9743 rom 83 submissions. They were organized in topical sections as follows: Modeling and design; entity matching and similarity; classification; machine learning methods and applications; time series; data repositories;optimization; and data quality and applications.?.978-3-031-68322-0978-3-031-68323-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 諂媚于性 時間: 2025-3-28 08:35 作者: 指派 時間: 2025-3-28 11:45 作者: 地名詞典 時間: 2025-3-28 14:36 作者: 地名詞典 時間: 2025-3-28 18:47
Exploring Evaluation Metrics for?Binary Classification in?Data Analysis: the?Worthiness Benchmark Col superiority, but different metrics may yield varying interpretations of the same matrices. We propose the . (.), a novel concept characterizing the classification metrics’ principles for ranking classifiers and is useful to select the best metric for a given problem.作者: Indecisive 時間: 2025-3-29 01:28
Towards Regional Explanations with?Validity Domains for?Local Explanationsing users to determine the extent to which the explanation generalizes. We experimentally show that our approach is more precise regarding the machine learning model and has a better coverage of the dataset than Anchors, a known competitor that paved the way for this issue.作者: 相一致 時間: 2025-3-29 03:57 作者: 種屬關(guān)系 時間: 2025-3-29 08:45 作者: 蛛絲 時間: 2025-3-29 11:28
What Do the Retrievals Really Tell Us?for the subtree similarity search problem based on the structure and contents of the trees. We demonstrate through experiments that our proposed method outperforms the previous scan-based methods in terms of speed and is competitive with index-based methods.作者: FISC 時間: 2025-3-29 18:08 作者: Jacket 時間: 2025-3-29 23:29 作者: Intellectual 時間: 2025-3-30 03:28 作者: 清醒 時間: 2025-3-30 05:01
https://doi.org/10.1007/978-981-99-9400-7f the workloads in real-world applications change frequently. This poses the challenge of automatically adapting the indexes to the changing workload. An effective approach to solve this problem is an online index selection process, which does not assume prior knowledge of the workload pattern but a作者: 陰郁 時間: 2025-3-30 12:03
https://doi.org/10.1007/978-981-99-9400-7 and integration complexities. These challenges impact on decision-making and data integration processes. We define data alignment as the process of aligning columns from different tabular sources using their schema and instances. Data alignment is emerging as an essential solution, ensuring data co作者: burnish 時間: 2025-3-30 15:47 作者: bibliophile 時間: 2025-3-30 17:30 作者: Tonometry 時間: 2025-3-31 00:19 作者: micronutrients 時間: 2025-3-31 01:45
What Do the Retrievals Really Tell Us?scan-based method extracts candidate subtrees based on the size difference, which only considers the structural differences and ignores the differences in the contents represented by the trees. For this reason, it suffers from the following two issues. First, for queries against a tree with a regula作者: 安裝 時間: 2025-3-31 05:19
https://doi.org/10.1007/978-1-4614-8999-3ictions as a point-in-time classification problem. This approach has limitations, particularly in capturing the evolving nature of solar activity. Recognizing the limitations of traditional flare forecasting approaches, our research aims to uncover hidden relationships and the evolutionary character作者: Protein 時間: 2025-3-31 11:53
