標(biāo)題: Titlebook: Big Data; 10th CCF Conference, Tianrui Li,Rui Mao,Jie Hu Conference proceedings 2022 The Editor(s) (if applicable) and The Author(s), under [打印本頁] 作者: Corticosteroids 時(shí)間: 2025-3-21 17:17
書目名稱Big Data影響因子(影響力)
書目名稱Big Data影響因子(影響力)學(xué)科排名
書目名稱Big Data網(wǎng)絡(luò)公開度
書目名稱Big Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data被引頻次
書目名稱Big Data被引頻次學(xué)科排名
書目名稱Big Data年度引用
書目名稱Big Data年度引用學(xué)科排名
書目名稱Big Data讀者反饋
書目名稱Big Data讀者反饋學(xué)科排名
作者: 公式 時(shí)間: 2025-3-21 20:28
1865-0929 022.?.The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data..978-981-19-8330-6978-981-19-8331-3Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 投票 時(shí)間: 2025-3-22 02:48 作者: 直覺沒有 時(shí)間: 2025-3-22 08:25
J?rg-Uwe Nieland,Dagmar Hoffmannory matching tasks, shape-based trajectory search (STS) aims to find all trajectories that are similar in shape to the query trajectory, which may be judged to be dissimilar based on their coordinates. STS can be useful in various real world applications, such as geography discovery, animal migratio作者: 郊外 時(shí)間: 2025-3-22 12:21
Rationalit?tsverlust durch Intimisierung?n intuitive way to show how they understand and control semantics. In order to identify interpretable directions in GAN’s latent space, both supervised and unsupervised approaches have been proposed. But the supervised methods can only find the directions consistent with the supervised conditions. H作者: 拱墻 時(shí)間: 2025-3-22 13:12
Patrik Ettinger,Mark Eisenegger,Roger BlumN) is an adaptive neighbor concept for solving this problem, which combines k-nearest neighbors and reverse k-nearest neighbors to adaptively obtain . value. It has been proven effective in clustering analysis, classification and outlier detection. However, the existing algorithms for searching NaN 作者: 深陷 時(shí)間: 2025-3-22 20:41
J?rg-Uwe Nieland,Dagmar Hoffmannuyers to solve. To address this problem, we propose a knowledge graph convolutional network with user history and item entity augmentation for auto parts recommendation system. First, the knowledge graph of auto parts and the knowledge graph of users to find a set of node examples. Second, collect c作者: 翻動(dòng) 時(shí)間: 2025-3-22 21:16 作者: Default 時(shí)間: 2025-3-23 04:13 作者: 仇恨 時(shí)間: 2025-3-23 07:00
Intimit?t in p?dagogischen Beziehungench facilitates the use of KGs in downstream applications. However, most existing models ignore the semantic correlations among similar entities and relations. Indeed, we find there exist semantically similarities in entities or relations. To take advantage of these semantic correlations, we utilize 作者: 偉大 時(shí)間: 2025-3-23 13:03
Intimit?t in p?dagogischen Beziehungentions. Ranking algorithms in recommender systems are the most effective means to increase user clicks. At present, the recommendation system ranking algorithm is mainly divided into two categories. One is based on data mining, such as user features, product features, and scene features and crosses t作者: 移動(dòng) 時(shí)間: 2025-3-23 17:43
https://doi.org/10.1007/978-981-19-8331-3artificial intelligence; association rules; clustering algorithms; computational linguistics; computer n作者: 背叛者 時(shí)間: 2025-3-23 22:02 作者: Thyroiditis 時(shí)間: 2025-3-23 22:29 作者: 退出可食用 時(shí)間: 2025-3-24 04:43 作者: 同步左右 時(shí)間: 2025-3-24 07:04 作者: conformity 時(shí)間: 2025-3-24 14:31 作者: 解凍 時(shí)間: 2025-3-24 18:23 作者: galley 時(shí)間: 2025-3-24 21:37
,Identifying Urban Functional Regions by?LDA Topic Model with?POI Data, promote the deployment of urban infrastructure, radiate and drive the development of surrounding regions, so the identification of urban functional regions can promote the efficient development of cities. However, the traditional functional region identification method is mainly based on remote sen作者: Interdict 時(shí)間: 2025-3-24 23:19 作者: Medicare 時(shí)間: 2025-3-25 03:20
Clustering-Enhanced Knowledge Graph Embedding,ch facilitates the use of KGs in downstream applications. However, most existing models ignore the semantic correlations among similar entities and relations. Indeed, we find there exist semantically similarities in entities or relations. To take advantage of these semantic correlations, we utilize 作者: Hormones 時(shí)間: 2025-3-25 08:03 作者: Criteria 時(shí)間: 2025-3-25 14:06 作者: 逢迎白雪 時(shí)間: 2025-3-25 19:21
Intimiteit en seksualiteit bij dementieto the pointer network to generate content template. Finally, the content template is inputted into the text generator to generate the descriptive texts. Through experiments, the accuracy of the content planning and the BLEU of the generated texts have been improved, which verifies the effectiveness of our proposed data-to-text generation model.作者: Homocystinuria 時(shí)間: 2025-3-25 20:15
Intimit?t in p?dagogischen Beziehungenr relations themselves, and the other is from the cluster information. By this way, the entities or relations can make full use of both the common information of their similar entities or relations and the unique information from themselves. Extensive experiments on popular benchmarks demonstrate the effectiveness of the proposed models.作者: Trochlea 時(shí)間: 2025-3-26 00:24
A Data-to-Text Generation Model with Deduplicated Content Planning,to the pointer network to generate content template. Finally, the content template is inputted into the text generator to generate the descriptive texts. Through experiments, the accuracy of the content planning and the BLEU of the generated texts have been improved, which verifies the effectiveness of our proposed data-to-text generation model.作者: MUMP 時(shí)間: 2025-3-26 06:21
Clustering-Enhanced Knowledge Graph Embedding,r relations themselves, and the other is from the cluster information. By this way, the entities or relations can make full use of both the common information of their similar entities or relations and the unique information from themselves. Extensive experiments on popular benchmarks demonstrate the effectiveness of the proposed models.作者: 有機(jī)體 時(shí)間: 2025-3-26 12:15
1865-0929 022.?.The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data..978-981-19-8330-6978-981-19-8331-3Series ISSN 1865-0929 Series E-ISSN 1865-0作者: 惡名聲 時(shí)間: 2025-3-26 14:32
J?rg-Uwe Nieland,Dagmar Hoffmannch follows an align-based paradigm. Then, to accelerate STS, we propose a trajectory representation framework based on symbolic representation to support efficient rough match. Finally, extensive experiments on two real-world datasets demonstrate the effectiveness and efficiency of our framework.作者: 階層 時(shí)間: 2025-3-26 20:48 作者: 異常 時(shí)間: 2025-3-26 22:31
Patrik Ettinger,Mark Eisenegger,Roger Blum can quickly obtain the natural neighbor eigenvalue (NaNE). To identify the remote objects, ASNN only searches the 1-nearest neighbor for each object with kd-tree, so its time complexity is reduced to . from ., and the local search strategy makes it run faster than the existing algorithms. To illust作者: daredevil 時(shí)間: 2025-3-27 02:40 作者: 追逐 時(shí)間: 2025-3-27 07:32
Rationalit?tsverlust durch Intimisierung?l data can more effectively solve the difficulties of traditional mapping and identification. POI (Point of Interest) data, as a typical type of social data, can be used to identify urban functional regions. We apply the LDA topic model to the POI data, and propose a new urban functional region iden作者: opalescence 時(shí)間: 2025-3-27 13:22 作者: 易受刺激 時(shí)間: 2025-3-27 14:08 作者: formula 時(shí)間: 2025-3-27 21:15 作者: Myosin 時(shí)間: 2025-3-27 23:40 作者: Occlusion 時(shí)間: 2025-3-28 04:06 作者: 情感脆弱 時(shí)間: 2025-3-28 06:17 作者: 慢慢沖刷 時(shí)間: 2025-3-28 11:04
