標(biāo)題: Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Valentina Emilia Balas,Neha Sharma,Amlan Chakrabar Conference proceedings 2 [打印本頁] 作者: Hoover 時間: 2025-3-21 19:14
書目名稱Data Management, Analytics and Innovation影響因子(影響力)
書目名稱Data Management, Analytics and Innovation影響因子(影響力)學(xué)科排名
書目名稱Data Management, Analytics and Innovation網(wǎng)絡(luò)公開度
書目名稱Data Management, Analytics and Innovation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Management, Analytics and Innovation被引頻次
書目名稱Data Management, Analytics and Innovation被引頻次學(xué)科排名
書目名稱Data Management, Analytics and Innovation年度引用
書目名稱Data Management, Analytics and Innovation年度引用學(xué)科排名
書目名稱Data Management, Analytics and Innovation讀者反饋
書目名稱Data Management, Analytics and Innovation讀者反饋學(xué)科排名
作者: nauseate 時間: 2025-3-21 22:03 作者: 使人煩燥 時間: 2025-3-22 03:14 作者: armistice 時間: 2025-3-22 05:25
Conference proceedings 2019of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlightin作者: 搖曳的微光 時間: 2025-3-22 11:46
2194-5357 s and solutions for future development.Serves as a referenceThe volume on .Data Management, Analytics and Innovations. presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and d作者: 思考而得 時間: 2025-3-22 14:15
Zheng Xu,Jinping Li,Jianqin Yin,Yanchun Wuracting explicit temporal expressions and probabilistic in extracting implicit boundaries. We introduce event context as a set of features to learn a CRF model. We achieve F1 score of 0.78 in detecting boundaries. We apply rule-based normalization and ordering of identified temporal expressions.作者: 思考而得 時間: 2025-3-22 20:38
https://doi.org/10.1007/978-981-99-8021-5onverted to a tree for better visualization and easy exploration of data. To signify the effectiveness of the approach, we have carried out the experiment and evaluation on 20 Newsgroup Dataset. Results depict that the presented method is considerably successful in forming topic hierarchy.作者: Original 時間: 2025-3-23 00:13
Hierarchical Summarization of Text Documents Using Topic Modeling and Formal Concept Analysisonverted to a tree for better visualization and easy exploration of data. To signify the effectiveness of the approach, we have carried out the experiment and evaluation on 20 Newsgroup Dataset. Results depict that the presented method is considerably successful in forming topic hierarchy.作者: cinder 時間: 2025-3-23 02:03 作者: 闡明 時間: 2025-3-23 07:30 作者: Ingredient 時間: 2025-3-23 11:17 作者: 向宇宙 時間: 2025-3-23 14:37
6-Tier Design Framework for Smart Solution as a Service (SSaaS) Using Big Datahole is facing many problems or challenges in multiple areas towards extracting valuable insight from the pile of digital data which is heterogeneous and distributed. The paper suggests a 6-tier framework using Text Mining, Natural Language Processing and Data Analytics to suggest Smart Solution(s) as a Service.作者: 嬉耍 時間: 2025-3-23 18:05 作者: 典型 時間: 2025-3-23 22:33
Data Management, Analytics and Innovation978-981-13-1274-8Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: Handedness 時間: 2025-3-24 03:12
https://doi.org/10.1007/978-981-13-1274-8Data Management; ICDMAI Proceedings; ICDMAI 2018; Smart Informatics; Big Data; Artificial Intelligence an作者: 歸功于 時間: 2025-3-24 06:47 作者: habitat 時間: 2025-3-24 12:25
Valentina Emilia Balas,Neha Sharma,Amlan ChakrabarPresents latest research results in the areas of data management and data analytics.Discusses state-of-the-art topics and provides challenges and solutions for future development.Serves as a reference作者: 百科全書 時間: 2025-3-24 16:47
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/d/image/262883.jpg作者: 紅潤 時間: 2025-3-24 22:25 作者: Glucocorticoids 時間: 2025-3-25 00:18 作者: 舉止粗野的人 時間: 2025-3-25 04:32 作者: Hemodialysis 時間: 2025-3-25 08:44 作者: Laconic 時間: 2025-3-25 14:53 作者: 染色體 時間: 2025-3-25 16:07 作者: Accomplish 時間: 2025-3-25 23:39
Jiejiang Su,Huimin Liu,Jing Cui,Zhongyi Chua analytics a buzzword today. After industrial revolution, Internet revolution, we are witnessing third revolution, i.e., the Internet powered by IoT and Big Data. Extracting the value from this huge data and making the data useful through Big Data Analytics is the need of the hour. The world as a w作者: ONYM 時間: 2025-3-26 00:28
Xiaohui Zou,Huajian Gou,Qiang Yang,Jian Limation, which would help them to cater to the larger market and add additional pie of profit to their stats. Although there is an ample of data available, it is very much important to scrutinize and choose the appropriate data, which would help the company to have a cutting edge over its competitors作者: Friction 時間: 2025-3-26 05:03 作者: Painstaking 時間: 2025-3-26 09:39
Zheng Xu,Jinping Li,Jianqin Yin,Yanchun Wuive generation, and information extraction tasks. We attempt temporal ordering of events in medical case reports. Our approach is deterministic in extracting explicit temporal expressions and probabilistic in extracting implicit boundaries. We introduce event context as a set of features to learn a 作者: Keshan-disease 時間: 2025-3-26 14:38 作者: canvass 時間: 2025-3-26 19:26
Rui Yan,Jie Wen,Jian Cao,Yong Xu,Jian Yangt the rate of data distribution is very high. The data which is generated with varying distributions is referred to as data stream. Few examples to quote, data generated with regard to applications related to mobile networks, sensor networks, network traffic monitoring and network traffic management作者: allergy 時間: 2025-3-26 21:52
Mengya Kang,Chenglin Wen,Chenxi Wual of Big Data fully with the help of other open-source tools such as Hive, HBase, Pig, and Storm. It was hugely adopted in various areas such as training, online media, government, and web-based social networking to deal with the huge development of data in their respective domains. However, the co作者: upstart 時間: 2025-3-27 02:20 作者: 制定法律 時間: 2025-3-27 08:28 作者: 拋射物 時間: 2025-3-27 11:32 作者: Throttle 時間: 2025-3-27 14:15
An Empirical Study of Website Personalization Effect on Users Intention to Revisit E-commerce Websit empirically. Using Exploratory Factor Analysis (EFA) supports the factors identified with model as information, navigation, presentation personalization, cognitive, hedonic experience, satisfaction, and intention to revisit the personalized website. Confirmatory Factor Analysis (CFA) result support作者: 織物 時間: 2025-3-27 18:13
Green Information and Communication Technology Techniques in Higher Technical Education Institutionss of Green or sustainable ICT. It explains the importance of Green ICT. The study followed a qualitative methodological approach and primary data were collected through questionnaire and interview. These research findings show that Green ICT practices and awareness is less among the students of the 作者: 天氣 時間: 2025-3-28 00:19 作者: GROG 時間: 2025-3-28 02:40 作者: Proponent 時間: 2025-3-28 06:50
How Marketing Decisions are Taken with the Help of Big Data sustainable competitive advantage. This paper is entirely based on secondary data research, and accordingly the required analysis is done (Prof. John A. Deighton Harvard Business Review in Big data in marketing, 2016) [.].作者: ascetic 時間: 2025-3-28 13:59 作者: 浪費時間 時間: 2025-3-28 16:23 作者: 得體 時間: 2025-3-28 22:26 作者: Campaign 時間: 2025-3-29 02:37 作者: 使糾纏 時間: 2025-3-29 04:53 作者: Decongestant 時間: 2025-3-29 07:30 作者: Prologue 時間: 2025-3-29 13:31
2194-5357 the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.978-981-13-1273-1978-981-13-1274-8Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: PURG 時間: 2025-3-29 19:13 作者: fleeting 時間: 2025-3-29 20:29
Dexin Fu,Leipo Liu,Qiaofeng Wens of Green or sustainable ICT. It explains the importance of Green ICT. The study followed a qualitative methodological approach and primary data were collected through questionnaire and interview. These research findings show that Green ICT practices and awareness is less among the students of the 作者: 勉強(qiáng) 時間: 2025-3-30 03:33
Fuchun Sun,Qinghu Meng,Bin Fangin an existing dataset. We then predict the deleted ratings using different combinations of similarity metrics and prediction approach. We assessed the accuracy of the prediction with the help of two evaluation metrics (MAE and RMSE).作者: 武器 時間: 2025-3-30 07:16 作者: 使成波狀 時間: 2025-3-30 10:42
Xiaohui Zou,Huajian Gou,Qiang Yang,Jian Li sustainable competitive advantage. This paper is entirely based on secondary data research, and accordingly the required analysis is done (Prof. John A. Deighton Harvard Business Review in Big data in marketing, 2016) [.].作者: 上下倒置 時間: 2025-3-30 12:31
https://doi.org/10.1007/978-981-16-2336-3on the forensics of big data systems. Since big data are scalable, high volume of data, which provides practical limitation for forensic investigation by using traditional approaches. Big data Forensic analytics provides new approaches to collect data, for analyzing collected data.作者: Unsaturated-Fat 時間: 2025-3-30 16:45 作者: 天氣 時間: 2025-3-30 21:02 作者: Diluge 時間: 2025-3-31 00:52 作者: grandiose 時間: 2025-3-31 08:44
An Efficient Network for Lane Segmentationr has taken bold step to create a basic framework to measure individual performance on totally new perspective which is building over the famous concept created by Dr. Norton & Dr. Kaplan, ‘Balanced Scorecard’. This new concept and framework talks about mapping ‘Emotional Quotients’—i.e. Intelligenc作者: Corporeal 時間: 2025-3-31 11:13
Understanding-based image analysis systems, independent variables while modeling. These variables are generally a weak indicator of churn. The main goal of this research is to provide a new mechanism to develop churn model by taking into account the shifts in activity patterns of service usages. In particular, we measured the customer activi作者: collateral 時間: 2025-3-31 17:02
