標(biāo)題: Titlebook: Big-Data Analytics and Cloud Computing; Theory, Algorithms a Marcello Trovati,Richard Hill,Lu Liu Book 2015 Springer International Publishi [打印本頁] 作者: deflate 時(shí)間: 2025-3-21 17:54
書目名稱Big-Data Analytics and Cloud Computing影響因子(影響力)
書目名稱Big-Data Analytics and Cloud Computing影響因子(影響力)學(xué)科排名
書目名稱Big-Data Analytics and Cloud Computing網(wǎng)絡(luò)公開度
書目名稱Big-Data Analytics and Cloud Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big-Data Analytics and Cloud Computing被引頻次
書目名稱Big-Data Analytics and Cloud Computing被引頻次學(xué)科排名
書目名稱Big-Data Analytics and Cloud Computing年度引用
書目名稱Big-Data Analytics and Cloud Computing年度引用學(xué)科排名
書目名稱Big-Data Analytics and Cloud Computing讀者反饋
書目名稱Big-Data Analytics and Cloud Computing讀者反饋學(xué)科排名
作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-21 20:37
978-3-319-79767-0Springer International Publishing Switzerland 2015作者: 延期 時(shí)間: 2025-3-22 02:51 作者: 絕種 時(shí)間: 2025-3-22 05:08 作者: TOXIC 時(shí)間: 2025-3-22 12:06 作者: 帶來墨水 時(shí)間: 2025-3-22 16:15 作者: Acclaim 時(shí)間: 2025-3-22 18:30 作者: 咒語 時(shí)間: 2025-3-22 23:46
,Polarized Light—Laws of Reflection,edia big data in an efficient and scalable way. We outline examples of the use of the MapReduce framework, including Hadoop, which has become the most common approach to a truly scalable and efficient framework for common multimedia processing tasks, e.g., content analysis and retrieval. We also exa作者: Reservation 時(shí)間: 2025-3-23 02:24 作者: poliosis 時(shí)間: 2025-3-23 08:08 作者: 整頓 時(shí)間: 2025-3-23 09:49
Interaction of Light with Matter,tion is very time-consuming when carried out manually. In this chapter, we discuss an automated method to identify, assess and aggregate relevant information from large unstructured datasets to build fragments of BNs.作者: 發(fā)炎 時(shí)間: 2025-3-23 14:29 作者: Optometrist 時(shí)間: 2025-3-23 19:00
https://doi.org/10.1007/978-1-4612-5671-7cardiac arrhythmia. In particular, this is based on large unstructured data sets in the form of scientific papers focusing on cardiology. The information extracted is subsequently combined with expert knowledge, as well as experimental data, to provide a robust, scalable and accurate system. The eva作者: lobster 時(shí)間: 2025-3-23 22:10
Further Development of the Kalman Filter, management of interactions and the boosting of social capital in large organisations. As with the majority of social software, our platform requires a large scale of data to be consumed, processed and exploited for the generation of its automated social networks. The platforms purpose is to reduce 作者: spinal-stenosis 時(shí)間: 2025-3-24 04:02 作者: 周興旺 時(shí)間: 2025-3-24 10:31 作者: llibretto 時(shí)間: 2025-3-24 13:14
Role and Importance of Semantic Search in Big Data Governanceth insights yet undreamed of. However, only if we are able to organize and arrange this deluge of variety according into something meaningful to us, we can expect new insights and thus benefit from Big Data. This chapter demonstrates that text analysis is essential for Big Data governance. However, 作者: Insensate 時(shí)間: 2025-3-24 14:52
Multimedia Big Data: Content Analysis and Retrievaledia big data in an efficient and scalable way. We outline examples of the use of the MapReduce framework, including Hadoop, which has become the most common approach to a truly scalable and efficient framework for common multimedia processing tasks, e.g., content analysis and retrieval. We also exa作者: 期滿 時(shí)間: 2025-3-24 22:30
Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle e. This paper proposes a model of bus arrival time prediction, which aims to improve arrival time accuracy. This model is intended to function as a preprocessing stage to handle real-world input data in advance of further processing by a Kalman filtering model; as such, the model is able to overcome作者: 蟄伏 時(shí)間: 2025-3-25 01:56
Data Science and Big Data Analytics at Career Buildersumes and job postings, such matching analytics involve several Big Data challenges. At CareerBuilder, we tackle these challenges by (i) classifying large datasets of job ads and job seeker resumes to occupation categories and (ii) providing a scalable framework that facilitates executing web servic作者: 亞麻制品 時(shí)間: 2025-3-25 06:59
Extraction of Bayesian Networks from Large Unstructured Datasetstion is very time-consuming when carried out manually. In this chapter, we discuss an automated method to identify, assess and aggregate relevant information from large unstructured datasets to build fragments of BNs.作者: organism 時(shí)間: 2025-3-25 09:14 作者: Incisor 時(shí)間: 2025-3-25 14:15 作者: fatty-streak 時(shí)間: 2025-3-25 18:59
A Platform for Analytics on Social Networks Derived from Organisational Calendar Data management of interactions and the boosting of social capital in large organisations. As with the majority of social software, our platform requires a large scale of data to be consumed, processed and exploited for the generation of its automated social networks. The platforms purpose is to reduce 作者: Vulnerable 時(shí)間: 2025-3-25 21:30
Book 2015zation of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets..作者: 不滿分子 時(shí)間: 2025-3-26 00:16 作者: 鋸齒狀 時(shí)間: 2025-3-26 04:46 作者: convert 時(shí)間: 2025-3-26 11:11 作者: 過渡時(shí)期 時(shí)間: 2025-3-26 14:12 作者: 百科全書 時(shí)間: 2025-3-26 17:23
A Platform for Analytics on Social Networks Derived from Organisational Calendar Data networks generated from existing data. The following paper focuses on the process of acquiring and processing redundant calendar data available to all organisations and processing it into a social network that can be analysed.作者: 新字 時(shí)間: 2025-3-26 21:00 作者: AGOG 時(shí)間: 2025-3-27 04:47
https://doi.org/10.1007/978-1-4612-5671-7ion extracted is subsequently combined with expert knowledge, as well as experimental data, to provide a robust, scalable and accurate system. The evaluation clearly shows a high accuracy rate, namely, 92.6?%, as well as transparency of the system, which is a remarkable improvement with respect to the current research in the field.作者: 揉雜 時(shí)間: 2025-3-27 06:52 作者: craving 時(shí)間: 2025-3-27 11:19
Multimedia Big Data: Content Analysis and Retrievalmine recent developments on deep learning which has produced promising results in large-scale multimedia processing and retrieval. Overall the focus has been on empirical studies rather than the theoretical so as to highlight the most practically successful recent developments and highlight the associated caveats or lessons learned.作者: Airtight 時(shí)間: 2025-3-27 16:58 作者: dragon 時(shí)間: 2025-3-27 21:07 作者: GLADE 時(shí)間: 2025-3-28 01:27
Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle of the retrieved twitter data. Data in Twitter, which have been processed, can be considered as a new input for route calculations and updates. This data will be fed into KF models for further processing to produce a new arrival time estimation.作者: 乳汁 時(shí)間: 2025-3-28 04:26
Data Science and Big Data Analytics at Career Buildersed job title taxonomy discovery component that facilitates discovering more fine-grained job titles than the ones in the industry standard occupation taxonomy. We then describe CARBi, a system for developing and deploying Big Data applications for understanding and improving job-resume dynamics. CA作者: biopsy 時(shí)間: 2025-3-28 08:02
Two Case Studies Based on Large Unstructured Setsking of network structures from data sets. In: Proceedings of CISIS, Birmingham, pp?331–337, 2014) and Trovati (Int J Distrib Syst Technol, 2015, in press), whose results clearly indicate the reliability and efficiency of this type of approach when addressing large unstructured datasets. This is par作者: 榨取 時(shí)間: 2025-3-28 12:46
An Overview of Some Theoretical Topological Aspects of Big Data作者: 流眼淚 時(shí)間: 2025-3-28 17:58
cal frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets..978-3-319-79767-0978-3-319-25313-8作者: 擴(kuò)張 時(shí)間: 2025-3-28 21:06 作者: GRIN 時(shí)間: 2025-3-29 01:32 作者: 廣大 時(shí)間: 2025-3-29 04:52
Interaction of Light with Matter,sed job title taxonomy discovery component that facilitates discovering more fine-grained job titles than the ones in the industry standard occupation taxonomy. We then describe CARBi, a system for developing and deploying Big Data applications for understanding and improving job-resume dynamics. CA作者: Calibrate 時(shí)間: 2025-3-29 08:47
Introduction to Optimal Control Theoryking of network structures from data sets. In: Proceedings of CISIS, Birmingham, pp?331–337, 2014) and Trovati (Int J Distrib Syst Technol, 2015, in press), whose results clearly indicate the reliability and efficiency of this type of approach when addressing large unstructured datasets. This is par作者: 罵人有污點(diǎn) 時(shí)間: 2025-3-29 11:36
Wittgenstein‘s Tractatus at 100post-communist country that, in the last few decades, has made drastic political and economic changes. Rapid urbanisation, higher economic activity and population growth place multiple pressures on environmental and social problems. In the last decade, to create an enabling environment for the promo
