標(biāo)題: Titlebook: Big Data Technologies and Applications; Borko Furht,Flavio Villanustre Book 2016 Springer International Publishing Switzerland 2016 Big da [打印本頁] 作者: 斷巖 時(shí)間: 2025-3-21 16:57
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書目名稱Big Data Technologies and Applications讀者反饋
書目名稱Big Data Technologies and Applications讀者反饋學(xué)科排名
作者: Hyperplasia 時(shí)間: 2025-3-21 20:23
Introduction to Contact Mechanicsking it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized. In the present study, we explore how Deep Learning can be utilized for addressing some important problems in Big Data Analytics, including extracting complex patterns from massive volumes of data, 作者: N斯巴達(dá)人 時(shí)間: 2025-3-22 01:41 作者: 撤退 時(shí)間: 2025-3-22 05:15 作者: NEX 時(shí)間: 2025-3-22 10:13
Visualizing Big Datants of information is evaluated. Based on the results, a non-traditional approach is proposed: we discuss how the capabilities of Augmented Reality and Virtual Reality could be applied to the field of Big Data Visualization. We discuss the promising utility of Mixed Reality technology integration wi作者: prolate 時(shí)間: 2025-3-22 16:23
Deep Learning Techniques in Big Data Analyticsking it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized. In the present study, we explore how Deep Learning can be utilized for addressing some important problems in Big Data Analytics, including extracting complex patterns from massive volumes of data, 作者: 知道 時(shí)間: 2025-3-22 19:55 作者: initiate 時(shí)間: 2025-3-22 23:48
cluding fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification..The book is intended for a wide variety of people including researchers, scientists, programmers, 978-3-319-83077-3978-3-319-44550-2作者: 服從 時(shí)間: 2025-3-23 05:17
lications such as security, fraud, and machine learning.InclThe objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform..The book comprises 15 chapters broken into three作者: 動(dòng)機(jī) 時(shí)間: 2025-3-23 08:16 作者: omnibus 時(shí)間: 2025-3-23 09:47
Elastic Indentation Stress Fields,data-intensive computing architectures supporting scalable parallel processing such as Hadoop MapReduce and HPCC allow government, commercial organizations, and research environments to process massive amounts of data and solve complex data processing problems including record linkage.作者: 招致 時(shí)間: 2025-3-23 17:15
Mechanical Properties of Materials,the data gap using scalable parallel processing and allow government and commercial organizations and research environments to process massive amounts of data and implement applications previously thought to be impractical or infeasible.作者: Pedagogy 時(shí)間: 2025-3-23 19:58 作者: 畫布 時(shí)間: 2025-3-23 22:19 作者: 搬運(yùn)工 時(shí)間: 2025-3-24 05:19
Data Intensive Supercomputing Solutionsthe data gap using scalable parallel processing and allow government and commercial organizations and research environments to process massive amounts of data and implement applications previously thought to be impractical or infeasible.作者: intrigue 時(shí)間: 2025-3-24 08:44
Book 2016 HPCC, an open-source computing platform..The book comprises 15 chapters broken into three parts. The first part, .Big Data Technologies., includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, .LexisNexis Risk Solu作者: 五行打油詩 時(shí)間: 2025-3-24 10:52
Elastic Indentation Stress Fields,lable parallel processing to allow government, commercial organizations, and research environments to process massive amounts of data and implement new applications previously thought to be impractical or infeasible.作者: Aromatic 時(shí)間: 2025-3-24 15:18 作者: 美色花錢 時(shí)間: 2025-3-24 19:40
https://doi.org/10.1007/978-0-387-68188-7gh proper analysis. When an organization is capable of comprehending this data in its totality—whether it originates from firewall logs, IDS alerts, server event logs, or other sources—then it can begin to identify and trace the markers, clues, and clusters of activity that represent threatening behavior.作者: nominal 時(shí)間: 2025-3-25 01:50
Realizations of the NR Principle,solutions and new technologies. This paper describes some of the models and mobile applications that can be used in determining the transmission, predicting the outbreak and preventing from an Ebola epidemic.作者: 嫌惡 時(shí)間: 2025-3-25 04:52
Statistics of Brittle Fracture,and reviews applications applied to transfer learning. Lastly, there is information listed on software downloads for various transfer learning solutions and a discussion of possible future research work. The transfer learning solutions surveyed are independent of data size and can be applied to big data environments.作者: fetter 時(shí)間: 2025-3-25 10:18 作者: Adulterate 時(shí)間: 2025-3-25 11:58
The HPCC/ECL Platform for Big Datalable parallel processing to allow government, commercial organizations, and research environments to process massive amounts of data and implement new applications previously thought to be impractical or infeasible.作者: Bone-Scan 時(shí)間: 2025-3-25 17:09
Graph Processing with Massive Datasets: A Kel Primerty following the adoption of graph models for new applications domains, including social networks and the web of data, both generating extremely large and dynamic graphs that cannot be adequately handled by legacy graph management applications [.].作者: 客觀 時(shí)間: 2025-3-25 20:52
HPCC Systems for Cyber Security Analyticsgh proper analysis. When an organization is capable of comprehending this data in its totality—whether it originates from firewall logs, IDS alerts, server event logs, or other sources—then it can begin to identify and trace the markers, clues, and clusters of activity that represent threatening behavior.作者: PLAYS 時(shí)間: 2025-3-26 03:52
Modeling Ebola Spread and Using HPCC/KEL Systemsolutions and new technologies. This paper describes some of the models and mobile applications that can be used in determining the transmission, predicting the outbreak and preventing from an Ebola epidemic.作者: Chemotherapy 時(shí)間: 2025-3-26 04:38
Big Data Analyticss now is, how to develop a high performance platform to efficiently analyze big data and how to design an appropriate mining algorithm to find the useful things from big data. To deeply discuss this issue, this paper begins with a brief introduction to data analytics, followed by the discussions of 作者: 領(lǐng)帶 時(shí)間: 2025-3-26 11:25 作者: Resign 時(shí)間: 2025-3-26 14:39 作者: Infect 時(shí)間: 2025-3-26 18:28
Deep Learning Techniques in Big Data Analyticsave been collecting massive amounts of domain-specific information, which can contain useful information about problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. Companies such as Google and Microsoft are analyzing large volumes of data for b作者: Acetaldehyde 時(shí)間: 2025-3-26 23:18
The HPCC/ECL Platform for Big Datae inability of organizations to effectively use massive amounts of their data in datasets which have grown to big to process in a timely manner. Data-intensive computing represents a new computing paradigm [.] which can address the big data problem using high-performance architectures supporting sca作者: rectum 時(shí)間: 2025-3-27 04:56 作者: Original 時(shí)間: 2025-3-27 07:55
Models for Big Datampose a data model upon a problem and thereby cripple their performance in some applications. The aim of this chapter is to discuss some of the principle data models that exist and are imposed; and then to argue that an industrial strength Big Data solution needs to be able to move between these mod作者: 寬敞 時(shí)間: 2025-3-27 11:41
Data Intensive Supercomputing Solutions information and use it effectively is increasing at an alarming rate. Data-intensive computing represents a new computing paradigm which can address the data gap using scalable parallel processing and allow government and commercial organizations and research environments to process massive amounts作者: 善于騙人 時(shí)間: 2025-3-27 16:42
Graph Processing with Massive Datasets: A Kel Primer the mathematical foundations to understanding graphs have been laid out over the last few centuries [.–.], it wasn’t until recently, with the advent of modern computers, that parsing and analysis of large-scale graphs became tractable [.]. In the last decade, graph theory gained mainstream populari作者: grieve 時(shí)間: 2025-3-27 21:17 作者: Memorial 時(shí)間: 2025-3-28 01:04
Modeling Ebola Spread and Using HPCC/KEL Systemtion, the possibility of worldwide epidemic is growing too. Infectious diseases like Ebola remain among the world’s leading causes of mortality and years of life lost. Addressing the significant disease burdens, which mostly impact the world’s poorest regions, is a huge challenge which requires new 作者: LATER 時(shí)間: 2025-3-28 04:37 作者: V洗浴 時(shí)間: 2025-3-28 09:00 作者: commensurate 時(shí)間: 2025-3-28 11:10
http://image.papertrans.cn/b/image/185666.jpg作者: 被告 時(shí)間: 2025-3-28 16:38
Models for Big Datampose a data model upon a problem and thereby cripple their performance in some applications. The aim of this chapter is to discuss some of the principle data models that exist and are imposed; and then to argue that an industrial strength Big Data solution needs to be able to move between these models with a minimum of effort.作者: 吃掉 時(shí)間: 2025-3-28 19:49 作者: abduction 時(shí)間: 2025-3-28 23:19 作者: Herd-Immunity 時(shí)間: 2025-3-29 06:20 作者: Synapse 時(shí)間: 2025-3-29 09:21 作者: 記成螞蟻 時(shí)間: 2025-3-29 15:20 作者: 負(fù)擔(dān) 時(shí)間: 2025-3-29 18:29
Elastic Indentation Stress Fields,ty of organizations to process and use their data effectively and makes the record linkage process even more challenging [., .]. New high-performance data-intensive computing architectures supporting scalable parallel processing such as Hadoop MapReduce and HPCC allow government, commercial organiza作者: 爵士樂 時(shí)間: 2025-3-29 19:58
Statistics of Brittle Fracture,mpose a data model upon a problem and thereby cripple their performance in some applications. The aim of this chapter is to discuss some of the principle data models that exist and are imposed; and then to argue that an industrial strength Big Data solution needs to be able to move between these mod作者: 皮薩 時(shí)間: 2025-3-30 00:58 作者: seduce 時(shí)間: 2025-3-30 05:41 作者: 滑動(dòng) 時(shí)間: 2025-3-30 08:41
https://doi.org/10.1007/978-0-387-68188-7ty, and velocity at which this raw data is created and transmitted across networks is staggering; so staggering in fact, that the vast majority of data is typically regarded as background noise, often discarded or ignored, and thus stripped of the immense potential value that could be realized throu作者: orthopedist 時(shí)間: 2025-3-30 15:41 作者: 有危險(xiǎn) 時(shí)間: 2025-3-30 17:30
Kyriacos A. Athanasiou,Roman M. Natolilassification with respect to reducing the computational cost and increasing the classification accuracy. In this study, we implement a new multimodal feature learning method and object identification framework using High Performance Computing Cluster (HPCC Systems.). The framework first learns repr
