標題: Titlebook: Data Science and Big Data Computing; Frameworks and Metho Zaigham Mahmood Book 2016 Springer International Publishing Switzerland 2016 Big [打印本頁] 作者: HEMI 時間: 2025-3-21 19:45
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書目名稱Data Science and Big Data Computing讀者反饋
書目名稱Data Science and Big Data Computing讀者反饋學科排名
作者: tinnitus 時間: 2025-3-21 20:38 作者: 改進 時間: 2025-3-22 02:57 作者: interior 時間: 2025-3-22 05:41
Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective among the types of data that can be abstracted as weighted graphs. Identifying minimum-sized influential vertices (MIV) in a weighted graph is an important task in graph mining that gains valuable commercial applications. Although different algorithms for this task have been proposed, it remains c作者: fastness 時間: 2025-3-22 09:14 作者: 信徒 時間: 2025-3-22 16:13
Interfacing Physical and Cyber Worlds: A Big Data Perspectivelogies are progressing very rapidly, and computations are becoming an essential part of our life. Cyber-physical systems (CPSs) are a new evolution in computing that are integrated with the real world along with the physical devices to provide control in real-time environments. CPS generally takes i作者: 信徒 時間: 2025-3-22 17:39 作者: Pathogen 時間: 2025-3-23 01:14 作者: 內閣 時間: 2025-3-23 02:08
Large-Scale Data Analytics Tools: Apache Hive, Pig, and HBaseogramming models. It is designed to handle massive amounts of data and has the ability to store, analyze, and access large amounts of data quickly, across clusters of commodity hardware. Hadoop has several large-scale data processing tools and each has its own purpose. The Hadoop ecosystem has emerg作者: 愉快嗎 時間: 2025-3-23 07:14
Big Data Analytics: Enabling Technologies and Toolss mainly due to the unprecedented levels of technology adoption and adaption resulting in the connectivity technologies, network topologies, and tools that have enabled seamless connectivity between billions of physical, mechanical, electrical, electronic, and computer systems. This data explosion a作者: Defiance 時間: 2025-3-23 13:20
A Framework for Data Mining and Knowledge Discovery in Cloud Computingact that extracting knowledge from large-scale data is a challenging issue creates a great demand for cloud computing because of its potential benefits such as scalable storage and processing services. Considering this motivation, this chapter introduces a novel framework, data mining in cloud compu作者: 威脅你 時間: 2025-3-23 14:35
Feature Selection for Adaptive Decision Making in Big Data Analyticsf new concepts, viz. Big Data and Big Data Analytics. High dimensionality, variability, uncertainty and speed of generating such data pose new challenges in data analysis using standard statistical methods, especially when Big Data consists of redundant as well as important information. Devising int作者: Subjugate 時間: 2025-3-23 20:13 作者: semiskilled 時間: 2025-3-23 23:46
https://doi.org/10.1007/978-3-319-31861-5Big Data Modeling and Management; Data Mining and Predictive Analytics; Security, Privacy, Safety and 作者: Obsessed 時間: 2025-3-24 06:25 作者: 繁榮地區(qū) 時間: 2025-3-24 08:16 作者: ALE 時間: 2025-3-24 11:41
Vladimir Zelevinsky,Sofia Karampagiahe system environment. This applies to any of the Internet of Things (IoT) applications where number of sensors and other smart devices are deployed. These sensors and smart devices embedded in IoT networks continually produce huge amounts of data. These data streams from heterogeneous sources arriv作者: Accede 時間: 2025-3-24 18:36
Recent Advances in R-matrix Data Analysisickly that storage and processing are becoming the two key concerns in such large systems of data. In addition to the size, complex relationship within the data is making the system highly sophisticated. Such complex relationships are often represented as network of data objects. Parallel processing作者: 極力證明 時間: 2025-3-24 21:18 作者: archetype 時間: 2025-3-25 03:08 作者: Infraction 時間: 2025-3-25 05:00
https://doi.org/10.1007/978-3-662-01611-4logies are progressing very rapidly, and computations are becoming an essential part of our life. Cyber-physical systems (CPSs) are a new evolution in computing that are integrated with the real world along with the physical devices to provide control in real-time environments. CPS generally takes i作者: 報復 時間: 2025-3-25 08:53 作者: handle 時間: 2025-3-25 12:23
Compounds of Arsenic, Antimony, and Bismuthnce engineers. As the bug repository grows in size for a large software application, this manual process becomes erroneous and a time-consuming activity. Automatic detection of these duplicate bug records will reduce the manual effort spent by the maintenance engineers. It also results in the reduct作者: 傲慢人 時間: 2025-3-25 18:03 作者: spondylosis 時間: 2025-3-25 22:53 作者: 含糊其辭 時間: 2025-3-26 04:09 作者: 思想靈活 時間: 2025-3-26 05:46
Elena Alexandrova,Anna Kochievaf new concepts, viz. Big Data and Big Data Analytics. High dimensionality, variability, uncertainty and speed of generating such data pose new challenges in data analysis using standard statistical methods, especially when Big Data consists of redundant as well as important information. Devising int作者: gene-therapy 時間: 2025-3-26 10:04
Elena Alexandrova,Anna Kochievaial media domain cannot be avoided. It is vital that while the positive impact needs to be recognized, the negative impact emerging from Big Data analysis as a social computational tool needs to be recognized and responded to by various agencies. There have been major investments in the development 作者: 芭蕾舞女演員 時間: 2025-3-26 15:47 作者: 散步 時間: 2025-3-26 19:46
http://image.papertrans.cn/d/image/263086.jpg作者: concise 時間: 2025-3-27 00:00
ribes the frameworks relevant to data science, and their appThis illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, dis作者: Crayon 時間: 2025-3-27 01:56
Compounds of Arsenic, Antimony, and Bismuthfuzzy set. This approximation allows to divide the whole graph into multiple subgraphs that can be processed independently. Then, for each subgraph, a MapReduce-based greedy algorithm can be designed to identify the minimum-sized influential vertices for the whole graph.作者: 過剩 時間: 2025-3-27 08:03
https://doi.org/10.1007/978-3-642-50290-3ility. This chapter provides the introductory material about the various Hadoop ecosystem tools and describes their usage with data analytics. Each tool has its own significance in its functions in data analytics environment.作者: 鋼盔 時間: 2025-3-27 09:40 作者: 丑惡 時間: 2025-3-27 17:02
Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspectivfuzzy set. This approximation allows to divide the whole graph into multiple subgraphs that can be processed independently. Then, for each subgraph, a MapReduce-based greedy algorithm can be designed to identify the minimum-sized influential vertices for the whole graph.作者: Projection 時間: 2025-3-27 21:33 作者: 壓倒 時間: 2025-3-27 22:06
A Framework for Data Mining and Knowledge Discovery in Cloud Computingnd advantages of the proposed DMCC framework. This study also compares the running times when data mining algorithms are executed in serial and parallel in a cloud environment through DMCC framework. Experimental results show that DMCC greatly decreases the execution times of data mining algorithms.作者: attenuate 時間: 2025-3-28 04:45 作者: 變量 時間: 2025-3-28 07:06
Book 2016resents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.作者: 桶去微染 時間: 2025-3-28 14:23
David Brown,Mike Herman,Gustavo Nobreis suitable for both complex (Web-level) and simple (device-level) applications. On the variety dimension, the goal is to reduce design-time requirements for interoperability by using structural data matching instead of sharing schemas or media types. In this approach, independently developed applic作者: lobster 時間: 2025-3-28 16:07
Vladimir Zelevinsky,Sofia Karampagiater proposes CEP-based solution to continuously collect and analyze the data generated from multiple sources in real time. Two case studies on intrusion detection in a heterogeneous sensor network and automated healthcare monitoring of geriatric patient are also considered for experimenting and vali作者: 不法行為 時間: 2025-3-28 20:26
Recent Advances in R-matrix Data Analysisgroup similar objects based on the connectivity among them. Application areas include social network analysis, World Wide Web, image processing, biological networks, supply chain networks, and many others. In this chapter, we discuss the relevant agglomerative approaches. Relative advantages with re作者: 枕墊 時間: 2025-3-29 00:56
Compounds of Arsenic, Antimony, and Bismuthle users, web, and public open data sources (e.g., regulatory institutions). A CyberWater case study is also presented for the purposes of modeling, integration, and operation of these data in order to provide a unified approach and a unique view. The case study aims to offer support for different p作者: Harrowing 時間: 2025-3-29 03:51 作者: 小歌劇 時間: 2025-3-29 09:47
https://doi.org/10.1007/978-3-662-01611-4nts, distributed platforms for machine learning, and cloud services for machine learning, known as machine-learning-as-a-service approach. We also provide a number of recommendations for data scientists when considering machine learning approach for their problem.作者: narcissism 時間: 2025-3-29 15:06
Compounds of Arsenic, Antimony, and Bismuthues that are used to detect both types of duplicate bug records. Some of these duplicate bug records reappear, that is, they show up continuously over a long period of time. Here, we present a framework that can be used to automate the entire process of detection of both types of duplicates and recu作者: Deceit 時間: 2025-3-29 19:11 作者: Blanch 時間: 2025-3-29 20:17
Elena Alexandrova,Anna Kochievae. Genetic algorithm, a well-proven global optimization algorithm, has been extended to search the fitness space more efficiently in order to select global optimum feature subset. Real-life data is often vague, so fuzzy logic and rough-set theory are applied to handle uncertainty and maintain consis作者: Daily-Value 時間: 2025-3-30 02:30
Elena Alexandrova,Anna Kochievaiminately and transparently. This chapter analyzes the impact of Big Data from social media platforms in the social, political, and economic spheres. Further, the discriminate use of Big Data analysis from social media platforms is explored, within the context of ethical conduct by potential users a作者: 溫和女人 時間: 2025-3-30 04:56 作者: 賞心悅目 時間: 2025-3-30 11:09
An Interoperability Framework and Distributed Platform for Fast Data Applicationsis suitable for both complex (Web-level) and simple (device-level) applications. On the variety dimension, the goal is to reduce design-time requirements for interoperability by using structural data matching instead of sharing schemas or media types. In this approach, independently developed applic作者: Atheroma 時間: 2025-3-30 15:32 作者: 過分 時間: 2025-3-30 18:11
