標(biāo)題: Titlebook: Data Quality and Trust in Big Data; 5th International Wo Hakim Hacid,Quan Z. Sheng,Rui Zhou Conference proceedings 2019 Springer Nature Swi [打印本頁] 作者: Retina 時(shí)間: 2025-3-21 16:52
書目名稱Data Quality and Trust in Big Data影響因子(影響力)
書目名稱Data Quality and Trust in Big Data影響因子(影響力)學(xué)科排名
書目名稱Data Quality and Trust in Big Data網(wǎng)絡(luò)公開度
書目名稱Data Quality and Trust in Big Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Quality and Trust in Big Data被引頻次
書目名稱Data Quality and Trust in Big Data被引頻次學(xué)科排名
書目名稱Data Quality and Trust in Big Data年度引用
書目名稱Data Quality and Trust in Big Data年度引用學(xué)科排名
書目名稱Data Quality and Trust in Big Data讀者反饋
書目名稱Data Quality and Trust in Big Data讀者反饋學(xué)科排名
作者: Obsequious 時(shí)間: 2025-3-21 21:14
James Douglas,Eleanor Atkins,Hamish Clift temporal data defects according to a five-step methodology. The proposed taxonomy enhances the descriptions and coverage of defects with regard to the related works, and also supports certain requirements of data quality assessment, including the design of visual analytics solutions to support data quality assessment.作者: glisten 時(shí)間: 2025-3-22 03:41 作者: Creditee 時(shí)間: 2025-3-22 06:26
James Douglas,Eleanor Atkins,Hamish Cliftl that is presented according to the Communication Theory and it covers various perspectives of assessing Information Systems (IS). Hence, these dimensions cause it to be a multidimensional measuring model that could be a suitable model for realizing the level of KS.作者: 猛擊 時(shí)間: 2025-3-22 12:38
A Formal Taxonomy of Temporal Data Defects, temporal data defects according to a five-step methodology. The proposed taxonomy enhances the descriptions and coverage of defects with regard to the related works, and also supports certain requirements of data quality assessment, including the design of visual analytics solutions to support data quality assessment.作者: 強(qiáng)化 時(shí)間: 2025-3-22 13:03 作者: 強(qiáng)化 時(shí)間: 2025-3-22 19:00
Delone and McLean IS Success Model for Evaluating Knowledge Sharing,l that is presented according to the Communication Theory and it covers various perspectives of assessing Information Systems (IS). Hence, these dimensions cause it to be a multidimensional measuring model that could be a suitable model for realizing the level of KS.作者: 贊美者 時(shí)間: 2025-3-22 23:49
0302-9743 eld in conjunction with the International Conference on Web Information Systems Engineering, WISE 2018, in Dubai, UAE, in November 2018. ..The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with novel ideas and solutions related to the problems 作者: 螢火蟲 時(shí)間: 2025-3-23 01:42 作者: Synchronism 時(shí)間: 2025-3-23 08:09 作者: unstable-angina 時(shí)間: 2025-3-23 11:27
Conference proceedings 2019d in this volume were carefully reviewed and selected from 15 submissions. They deal with novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for Big Data. .作者: CRP743 時(shí)間: 2025-3-23 17:01
0302-9743 s presented in this volume were carefully reviewed and selected from 15 submissions. They deal with novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for Big Data. .978-3-030-19142-9978-3-030-19143-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: STING 時(shí)間: 2025-3-23 20:41 作者: Hemiplegia 時(shí)間: 2025-3-23 23:51
Comparing Postcolonial Literatureslogical) schemas. In contrast to existing approaches, we provide a fully automatable workflow that also enables regular reassessment. Our implementation allows to measure the quality dimensions correctness, completeness, pertinence, minimality, readability, and normalization.作者: HARP 時(shí)間: 2025-3-24 04:45
A Novel Data Quality Metric for Minimality,that fulfills all requirements for a sound data quality metric. In our ongoing research, we are evaluating the benefits of the metric in more detail and investigate its applicability for redundancy detection in data values.作者: 背帶 時(shí)間: 2025-3-24 09:12 作者: 使更活躍 時(shí)間: 2025-3-24 11:23 作者: outer-ear 時(shí)間: 2025-3-24 18:33 作者: Conquest 時(shí)間: 2025-3-24 22:43
,CNR: Cross-network Recommendation Embedding User’s Personality,e the recommendation quality. For instance, users who used to watch . movie, may be less likely to receive . movie, leading to redundant type of items and decreasing user’s satisfaction. In this paper, we aim to exploit user’s personality type and incorporate it as a primary and enduring domain-inde作者: Homocystinuria 時(shí)間: 2025-3-25 02:03
Transitional Justice: A Likely Storypropose a feature-rich learning method to predict the importance of new emails. Furthermore, we characterize various factors affecting email importance in mailing list discussions. Experiments with publicly available mailing lists show that our prediction model outperforms baselines with large gains作者: antenna 時(shí)間: 2025-3-25 03:59
Leonardo Augusto de Andrade BarbosaT, we first propose some factors to capture the costs and benefits of a relationship. Then, based on these factors, we propose a trust metric called .; at that point, we propose a trust prediction method, based on Matrix Factorization and apply the context of trust in a mathematical model. Finally, 作者: originality 時(shí)間: 2025-3-25 11:09
Studies in the History of Law and Justicee the recommendation quality. For instance, users who used to watch . movie, may be less likely to receive . movie, leading to redundant type of items and decreasing user’s satisfaction. In this paper, we aim to exploit user’s personality type and incorporate it as a primary and enduring domain-inde作者: 低三下四之人 時(shí)間: 2025-3-25 15:26
A Novel Data Quality Metric for Minimality, others, the basis for artificial intelligence applications. While the majority of research into data quality refers to the data values of an information system, less research is concerned with schema quality. However, a poorly designed schema negatively impacts the quality of the data, for example,作者: Desert 時(shí)間: 2025-3-25 19:46
Automated Schema Quality Measurement in Large-Scale Information Systems,f the stored data, e.g., it may lead to inconsistencies and anomalies at the data-level. Even if the initial schema had an ideal design, changes during the life cycle can negatively affect the schema quality and have to be tackled. Especially in Big Data environments there are two major challenges: 作者: 鄙視讀作 時(shí)間: 2025-3-25 22:07 作者: 使習(xí)慣于 時(shí)間: 2025-3-26 01:21 作者: 配置 時(shí)間: 2025-3-26 06:11
,CNR: Cross-network Recommendation Embedding User’s Personality, of the most challenging problems in these systems is the data sparsity problem, i.e., lack of sufficient amount of available users’ interactions data. Recently, cross-network recommender systems with the idea of integrating users’ activities from multiple domain were presented as a successful solut作者: HALL 時(shí)間: 2025-3-26 09:22 作者: Hormones 時(shí)間: 2025-3-26 13:28 作者: GIDDY 時(shí)間: 2025-3-26 18:06
Data-Intensive Computing Acceleration with Python in Xilinx FPGA, techniques, such as CNN/RNN, over massive chunks of data objects. These services require novel devices with configurable high throughput in I/O (i.e., data-based model training), and uniquely large computation capability (i.e., large number of convolutional operations). In this paper, we present ou作者: 為寵愛 時(shí)間: 2025-3-27 00:54
Delone and McLean IS Success Model for Evaluating Knowledge Sharing,rm’s Knowledge Management (KM) Strategy. Despite the growing significance of KS for organization’s competitiveness and performance, analyzing the level of KS make it difficult for KM to achieve the optimum level of KS. Because of these causes, this study attempts to develop a conceptual model based 作者: AGATE 時(shí)間: 2025-3-27 01:21 作者: 繼而發(fā)生 時(shí)間: 2025-3-27 05:53
978-3-030-19142-9Springer Nature Switzerland AG 2019作者: 搜集 時(shí)間: 2025-3-27 11:40 作者: Perennial長(zhǎng)期的 時(shí)間: 2025-3-27 15:25 作者: 啞巴 時(shí)間: 2025-3-27 18:50 作者: 粘土 時(shí)間: 2025-3-27 22:31
Comparing Postcolonial Literaturesf the stored data, e.g., it may lead to inconsistencies and anomalies at the data-level. Even if the initial schema had an ideal design, changes during the life cycle can negatively affect the schema quality and have to be tackled. Especially in Big Data environments there are two major challenges: 作者: 圓錐體 時(shí)間: 2025-3-28 05:11
Transitional Justice: A Likely Storyignificantly benefit content summary and opinion leader recognition. However, previous studies only focus on the importance evaluation methods regarding personal emails, and there is no consensus on the definition of important emails. Therefore, in this paper we consider the characteristics of maili作者: Irremediable 時(shí)間: 2025-3-28 08:08
Leonardo Augusto de Andrade Barbosaken into account in most of the existing trust prediction approaches in Online Social Networks (OSNs). In addition, very few attempts have been made on trust prediction based on social psychology theories. For decades, social psychology theories have attempted to explain people’s behaviors in social作者: 獨(dú)特性 時(shí)間: 2025-3-28 14:10
Studies in the History of Law and Justice of the most challenging problems in these systems is the data sparsity problem, i.e., lack of sufficient amount of available users’ interactions data. Recently, cross-network recommender systems with the idea of integrating users’ activities from multiple domain were presented as a successful solut作者: 以煙熏消毒 時(shí)間: 2025-3-28 15:46
Cristiano Paix?o,Massimo Meccarelliace of some multimodal and high-dimensional problems, the algorithm is easy to fall into the local optimum. In order to avoid this phenomenon, this paper proposed an improved firefly algorithm with proportional adjustment strategy for alpha and beta. Thirteen well-known benchmark functions are used 作者: 拋射物 時(shí)間: 2025-3-28 22:16
James Douglas,Eleanor Atkins,Hamish Cliftdepend on efficiency and efficacy of (semi-)automated approaches that are determined by understanding the problem associated with each data defect. Despite the small number of works that describe temporal data defects regarding to accuracy, completeness and consistency, there is a significant hetero作者: majestic 時(shí)間: 2025-3-29 00:51
https://doi.org/10.1007/978-3-319-16175-4 techniques, such as CNN/RNN, over massive chunks of data objects. These services require novel devices with configurable high throughput in I/O (i.e., data-based model training), and uniquely large computation capability (i.e., large number of convolutional operations). In this paper, we present ou作者: 卷發(fā) 時(shí)間: 2025-3-29 03:10
