標題: Titlebook: Big Data Concepts, Theories, and Applications; Shui Yu,Song Guo Book 2016 Springer International Publishing Switzerland 2016 Big data.Big [打印本頁] 作者: 空格 時間: 2025-3-21 16:06
書目名稱Big Data Concepts, Theories, and Applications影響因子(影響力)
書目名稱Big Data Concepts, Theories, and Applications影響因子(影響力)學科排名
書目名稱Big Data Concepts, Theories, and Applications網(wǎng)絡(luò)公開度
書目名稱Big Data Concepts, Theories, and Applications網(wǎng)絡(luò)公開度學科排名
書目名稱Big Data Concepts, Theories, and Applications被引頻次
書目名稱Big Data Concepts, Theories, and Applications被引頻次學科排名
書目名稱Big Data Concepts, Theories, and Applications年度引用
書目名稱Big Data Concepts, Theories, and Applications年度引用學科排名
書目名稱Big Data Concepts, Theories, and Applications讀者反饋
書目名稱Big Data Concepts, Theories, and Applications讀者反饋學科排名
作者: zonules 時間: 2025-3-21 22:30
Big Data Tools and Platforms,e of the multitude of the tools and platforms involved it is often difficult for the Big Data practitioners to understand and select the right tools for addressing a given business problem related to Big Data. In this chapter we cover an introductory discussion to the various Big Data Tools and Plat作者: 大笑 時間: 2025-3-22 00:43
Traffic Identification in Big Internet Data, the problems of dynamic ports and encrypted payload in traditional port-based and payload-based methods, the state-of-the-art method employs flow statistical features and machine learning techniques to identify network traffic. This chapter reviews the statistical-feature based traffic classificati作者: 公社 時間: 2025-3-22 07:59
Security Theories and Practices for Big Data, well and has been widely adopted to provide big data services. However, outsourcing and resource sharing features of cloud computing lead to security concerns when applied to big data applications, e.g., confidentiality of data/program, and integrity of the processing procedure. On the other hand, 作者: 漸強 時間: 2025-3-22 11:07 作者: Torrid 時間: 2025-3-22 13:29
Big Data Storage Security,ritical challenge to the data storage systems. Firstly, since 60?. of the stored data is claimed to be redundant, data deduplication technology becomes an attractive solution to save storage space and traffic in a big data environment. Secondly, the security issues, such as confidentiality, integrit作者: guardianship 時間: 2025-3-22 18:13
Cyber Attacks on MapReduce Computation Time in a Hadoop Cluster,pletion time of a MapReduce job when a node is compromised in a Hadoop cluster. We studied three attack methods: (1) blocking all incoming data from the master node except for the special messages that relay the status of the slave node, (2) delaying the delivery of packets that are sent to the mast作者: Trochlea 時間: 2025-3-23 01:03
Security and Privacy for Big Data,major trend, in this chapter we provide an overview of state-of-the-art research issues and achievements in the field of security and privacy of big data, by highlighting recent advances in data encryption, privacy preservation and trust management. In section of data encryption, searchable encrypti作者: Affirm 時間: 2025-3-23 04:01 作者: ungainly 時間: 2025-3-23 06:29
Geospatial Big Data for Environmental and Agricultural Applications,challenges and opportunities as far as their access, archiving, processing and analytics are concerned. Currently, huge imaging streams are reaching several petabytes in many satellite archives worldwide. In this chapter, we review the current state-of-the-art in big data frameworks able to access, 作者: 火光在搖曳 時間: 2025-3-23 12:27 作者: languor 時間: 2025-3-23 14:08 作者: Chemotherapy 時間: 2025-3-23 20:02
https://doi.org/10.1007/978-3-540-72726-2o the labeling mistake and complex composition of big Internet data. This chapter further evaluates the performance of typical machine learning algorithms with unclean training data. The review and the empirical study can provide a guide for academia and practitioners in choosing proper traffic classification methods in real-world scenarios.作者: ANTI 時間: 2025-3-24 00:36
Bayesian Single Target Tracking,of-the-art data-leak detection designs and algorithms. These solutions leverage big data theories and platforms—data mining, MapReduce, GPGPU, etc.—to harden the privacy control for big data. We also discuss the open research problems in data-leak detection and prevention.作者: Inelasticity 時間: 2025-3-24 03:58
Definitions and Conceptual Orientationsthem on different cluster settings that consist of three, six, and nine slave nodes and a single mater node in our testbed. Our data shows these attacks can affect the performance of MapReduce by increasing the computing time of MapReduce jobs.作者: 菊花 時間: 2025-3-24 06:52
Traffic Identification in Big Internet Data,o the labeling mistake and complex composition of big Internet data. This chapter further evaluates the performance of typical machine learning algorithms with unclean training data. The review and the empirical study can provide a guide for academia and practitioners in choosing proper traffic classification methods in real-world scenarios.作者: 譏笑 時間: 2025-3-24 12:12 作者: 同音 時間: 2025-3-24 18:48
Cyber Attacks on MapReduce Computation Time in a Hadoop Cluster,them on different cluster settings that consist of three, six, and nine slave nodes and a single mater node in our testbed. Our data shows these attacks can affect the performance of MapReduce by increasing the computing time of MapReduce jobs.作者: 稱贊 時間: 2025-3-24 19:45 作者: 露天歷史劇 時間: 2025-3-24 23:55 作者: 頭腦冷靜 時間: 2025-3-25 06:11
Pathology of Affect: Nuerobiological Aspectsthe-art and emerging challenges, the present study highlights certain issues, insights and future directions towards the efficient exploitation of EO big data for important engineering, environmental and agricultural applications.作者: Original 時間: 2025-3-25 08:38
Geospatial Big Data for Environmental and Agricultural Applications,the-art and emerging challenges, the present study highlights certain issues, insights and future directions towards the efficient exploitation of EO big data for important engineering, environmental and agricultural applications.作者: 美學 時間: 2025-3-25 13:18 作者: Nebulizer 時間: 2025-3-25 17:09
http://image.papertrans.cn/b/image/185641.jpg作者: 挫敗 時間: 2025-3-25 21:17 作者: 模仿 時間: 2025-3-26 01:49 作者: mortuary 時間: 2025-3-26 07:33
Introduction to Bayesian Statisticsch queries are just a few examples of these continuous streams of user activities. The value of these streams relies in their freshness and relatedness to on-going events. Modern applications consuming these streams need to extract behaviour patterns that can be obtained by aggregating and mining st作者: Ptsd429 時間: 2025-3-26 09:23 作者: Arthr- 時間: 2025-3-26 14:39
https://doi.org/10.1007/978-3-540-72726-2 the problems of dynamic ports and encrypted payload in traditional port-based and payload-based methods, the state-of-the-art method employs flow statistical features and machine learning techniques to identify network traffic. This chapter reviews the statistical-feature based traffic classificati作者: Ancestor 時間: 2025-3-26 17:26 作者: 收養(yǎng) 時間: 2025-3-26 22:56
Bayesian Single Target Tracking,and government organizations show that the number of data-leak instances has grown rapidly in the last years. Deliberately planned attacks, inadvertent leaks, and human mistakes constitute the majority of the incidents. In this chapter, we first introduce the threat of data leak and overview traditi作者: 迅速飛過 時間: 2025-3-27 01:44
Pathology of Affect: Nuerobiological Aspectsritical challenge to the data storage systems. Firstly, since 60?. of the stored data is claimed to be redundant, data deduplication technology becomes an attractive solution to save storage space and traffic in a big data environment. Secondly, the security issues, such as confidentiality, integrit作者: subordinate 時間: 2025-3-27 07:58 作者: 寬宏大量 時間: 2025-3-27 11:54
Pathology of Affect: Nuerobiological Aspectsmajor trend, in this chapter we provide an overview of state-of-the-art research issues and achievements in the field of security and privacy of big data, by highlighting recent advances in data encryption, privacy preservation and trust management. In section of data encryption, searchable encrypti作者: 我邪惡 時間: 2025-3-27 14:46
https://doi.org/10.1007/978-1-4612-5452-2tural exemplar of big data applications. For example, data from weather stations, high resolution images from CT scans, or data captured by astronomical instruments all easily showcase one or more big data characteristics, i.e., volume, velocity, variety and veracity. These big data characteristics 作者: figurine 時間: 2025-3-27 20:17
Pathology of Affect: Nuerobiological Aspectschallenges and opportunities as far as their access, archiving, processing and analytics are concerned. Currently, huge imaging streams are reaching several petabytes in many satellite archives worldwide. In this chapter, we review the current state-of-the-art in big data frameworks able to access, 作者: Enthralling 時間: 2025-3-27 23:02
Toshihiro Muraji,Toshio Harumatsuadvanced Big Data technologies towards gaining actionable insights from massive market data, standardizing financial data from a variety of sources, reducing the response time to real-time data streams, improving the scalability of algorithms and software stacks on novel architectures. Today, these 作者: MOT 時間: 2025-3-28 06:03
Diagnostic Modalities for Biliary Atresia,uthern Airlines, this chapter illustrates how big data analytics can help airline companies to develop a comprehensive 360-degree view of the passengers. This chapter introduces a number of data mining techniques, including Weibo customer value modeling, social network analysis, website click-stream作者: Entrancing 時間: 2025-3-28 08:14
Introduction to Bayesian Statisticss production cope mainly with two of the characteristics given to Big Data by the 5V’s model: volume & velocity. Techniques such as complex pattern detection, event correlation, event aggregation, event mining and stream processing, have been used for composing events. Nevertheless, to the best of o作者: 好色 時間: 2025-3-28 11:12
Introduction to Bayesian Statisticsdetail. Then we also cover the applicability of the various categories of Big Data Tools and Platforms to various enterprise level Big Data use cases. Finally, we discuss the future works happening in this space to cover the newer patterns, tools and platforms to be watched for implementation of Big作者: 使苦惱 時間: 2025-3-28 15:06 作者: Mets552 時間: 2025-3-28 19:35
Pathology of Affect: Nuerobiological Aspectss, whose integration is essential for preventing data from existing and future security attacks. By discussing some interesting open problems, we finally expect to trigger more research efforts in this new research field.作者: 一條卷發(fā) 時間: 2025-3-28 22:55 作者: Diaphragm 時間: 2025-3-29 06:07
https://doi.org/10.1007/978-1-4612-5452-2ed with further depth, highlighting the association of the specific problem and its big data characteristics. The overview from these various perspectives will provide the reader an up-to-date audit of big data developments in engineering and science.作者: 聯(lián)想記憶 時間: 2025-3-29 08:17
Toshihiro Muraji,Toshio Harumatsuitate the algorithmic trading and research. Big data analytics can help reveal more hidden market opportunities through analyzing high-volume structured data and social news, in contrast to the underperformers that are incapable of adopting novel techniques. Being able to process massive complex eve作者: Apoptosis 時間: 2025-3-29 15:22
Diagnostic Modalities for Biliary Atresia,, this chapter introduces a multi-channel intelligence customer marketing platform for airlines. The findings of this study provide airline companies useful insights to better understand the passenger behavior and develop effective strategies for customer relationship management.作者: intangibility 時間: 2025-3-29 15:50
Book 2016tial geometry. The lastsection of this book introduces Big Data applications from differentcommunities, such as business, engineering and science...Big Data Concepts, Theories and Applications. is designed as a reference for?researchersand advanced level students in computer science, electrical engi作者: BET 時間: 2025-3-29 23:34
