標題: Titlebook: Big Data Applications and Use Cases; Patrick C. K. Hung Book 2016 Springer International Publishing Switzerland 2016 Big data architecture [打印本頁] 作者: PED 時間: 2025-3-21 18:09
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書目名稱Big Data Applications and Use Cases影響因子(影響力)學科排名
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書目名稱Big Data Applications and Use Cases網(wǎng)絡公開度學科排名
書目名稱Big Data Applications and Use Cases被引頻次
書目名稱Big Data Applications and Use Cases被引頻次學科排名
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書目名稱Big Data Applications and Use Cases年度引用學科排名
書目名稱Big Data Applications and Use Cases讀者反饋
書目名稱Big Data Applications and Use Cases讀者反饋學科排名
作者: 別名 時間: 2025-3-21 22:34 作者: seduce 時間: 2025-3-22 03:37 作者: Expertise 時間: 2025-3-22 07:28
International Series on Computer, Entertainment and Media Technologyhttp://image.papertrans.cn/b/image/185631.jpg作者: infantile 時間: 2025-3-22 12:04 作者: 使迷惑 時間: 2025-3-22 16:32 作者: micronized 時間: 2025-3-22 20:37
Derivatives and Differentiation,nal dataset. The paper presents a novel data structure based on Bloom filter for the multidimensional data representation. We further give the theoretical analysis and experimental evaluations of the algorithm. Results show that the algorithm can achieve the same false positive rate when dealing wit作者: 希望 時間: 2025-3-22 23:24 作者: bourgeois 時間: 2025-3-23 05:24
https://doi.org/10.1007/0-387-34228-1fact, CQA services gained much popularity recently compared to other Internet services in obtaining and exchanging information. Stack Overflow is an example of such a service that targets programmers and software developers. In general, most questions in Stack Overflow are usually ended up with an a作者: 政府 時間: 2025-3-23 05:51
Systems of Ordinary Differential Equations,L), a patient-driven data architecture is suggested to enable the rapid storing and flexible expansion of data. Thus, the schema differences of various hospitals can be overcome, and the flexibility for field alterations and addition is ensured. The timeline mode can easily be used to generate a vis作者: Anthem 時間: 2025-3-23 13:01
https://doi.org/10.1007/0-387-34228-1 engineers. Unstructured data mining deviates from existing information extraction methodologies that have been previously put forward due to the fact that recent data formation and storage has no standard schema; and the data is heterogeneous. At the storage level, the NoSQL database has been propo作者: Ascribe 時間: 2025-3-23 14:23
Systems of Ordinary Differential Equations,mote experimentation, create online chat rooms, share costly equipments and resources that otherwise are available to limited number of users due to constraints on time and geographical distances. Whereas traditional SVL may meet issues like access performance, adaptable, extensible and scalable fra作者: ZEST 時間: 2025-3-23 18:58
Ordinary Differential Equations,ment. The root sources of Big Data are founded on infinite data streams and the curse of dimensionality. It is generally known that data which are sourced from data streams accumulate continuously making traditional batch-based model induction algorithms infeasible for real-time data mining. In the 作者: Lipoma 時間: 2025-3-24 01:12 作者: 強制令 時間: 2025-3-24 06:20
2364-947X science and business.Includes contributions from leading resThis book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is作者: 發(fā)出眩目光芒 時間: 2025-3-24 07:52 作者: SNEER 時間: 2025-3-24 10:41
A Bloom Filter-Based Approach for Supporting the Representation and Membership Query of Multidimensical analysis and experimental evaluations of the algorithm. Results show that the algorithm can achieve the same false positive rate when dealing with exact membership queries. It can provide extra support of by-attribute membership query.作者: Frequency 時間: 2025-3-24 18:47
Book 2016n utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing importan作者: invulnerable 時間: 2025-3-24 22:42
Book 2016practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.?.作者: 雪上輕舟飛過 時間: 2025-3-25 00:35
Systems of Ordinary Differential Equations,t voice recordings into MIDI note sequences and then use bigram models to analyze the dynamic change information of the notes. Our experiments, conducted using a database including 600 test recordings from 20 subjects, show that the proposed system can achieve 94.3?% accuracy.作者: Bumptious 時間: 2025-3-25 06:56 作者: Lipoprotein(A) 時間: 2025-3-25 09:39 作者: arthroplasty 時間: 2025-3-25 11:55 作者: 說明 時間: 2025-3-25 19:18
Automatic Speech and Singing Discrimination for Audio Data Indexing,t voice recordings into MIDI note sequences and then use bigram models to analyze the dynamic change information of the notes. Our experiments, conducted using a database including 600 test recordings from 20 subjects, show that the proposed system can achieve 94.3?% accuracy.作者: BRACE 時間: 2025-3-25 23:19
Partial Differential Equations,g data, there becomes more concern for individuals’ privacy. To mitigate these potential risks, policies have been put into place such as the Personal Information Protection and Electronic Documents Act (PIPEDA). Furthermore, due to the nature of the technologies within the Internet of Things (IoT),作者: 話 時間: 2025-3-26 02:49 作者: 逗它小傻瓜 時間: 2025-3-26 05:19
https://doi.org/10.1007/0-387-34228-1 mining in document-based NoSQL systems. In this chapter, we provide comprehensive views about the performance of several algorithms that have been employed to achieve the topics and terms mining tasks. This chapter is a reproduction of several proposed algorithms which can enable the software engin作者: 法律的瑕疵 時間: 2025-3-26 10:37
Systems of Ordinary Differential Equations,centralized service to different communities of inter-disciplinary scientists, which inspires us to develop a SaaS (Software as a Service) cloud for scientific virtual laboratory named VLAB-C. VLAB-C provides three key features: (1) the ability of high performance on massive data processing and larg作者: Infelicity 時間: 2025-3-26 15:40
Ordinary Differential Equations,nt of data stream. The drawback of the optimization is the heavy consumption of time. To relieve this limitation, a loss function is proposed to look ahead for the occurrence of concept-drift which is one of the main causes of performance deterioration in data mining model. Optimization is skipped i作者: intoxicate 時間: 2025-3-26 18:13 作者: 不可接觸 時間: 2025-3-26 23:00 作者: 我不死扛 時間: 2025-3-27 02:47
Exploring the Feature Selection-Based Data Analytics Solutions for Text Mining Online Communities by by data mining techniques the relevant features that will help predict the quality of questions, and validate the reliability of the features using some of the state-of-the-art classification algorithms. The features to be obtained have to be significant in the sense that they can help Stack Overf作者: organism 時間: 2025-3-27 06:31 作者: Sciatica 時間: 2025-3-27 09:34
VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and Its Applications,centralized service to different communities of inter-disciplinary scientists, which inspires us to develop a SaaS (Software as a Service) cloud for scientific virtual laboratory named VLAB-C. VLAB-C provides three key features: (1) the ability of high performance on massive data processing and larg作者: OMIT 時間: 2025-3-27 17:33
Self-Adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Netwont of data stream. The drawback of the optimization is the heavy consumption of time. To relieve this limitation, a loss function is proposed to look ahead for the occurrence of concept-drift which is one of the main causes of performance deterioration in data mining model. Optimization is skipped i作者: accessory 時間: 2025-3-27 19:23 作者: 欺騙世家 時間: 2025-3-27 22:41
Introduction to Big Data, and used to make decisions. There are three main characteristics associated with big data: volume, variety and velocity. There are many motivations for the adoption of big data; this data has remarkable potential to drive innovation, the economy, productivity and future growth. Big data analytics h作者: grudging 時間: 2025-3-28 04:10
A Bloom Filter-Based Approach for Supporting the Representation and Membership Query of Multidimensnal dataset. The paper presents a novel data structure based on Bloom filter for the multidimensional data representation. We further give the theoretical analysis and experimental evaluations of the algorithm. Results show that the algorithm can achieve the same false positive rate when dealing wit作者: 草本植物 時間: 2025-3-28 09:41 作者: Extricate 時間: 2025-3-28 13:51 作者: 根除 時間: 2025-3-28 15:48
Temporal Event Tracing on Big Healthcare Data Analytics,L), a patient-driven data architecture is suggested to enable the rapid storing and flexible expansion of data. Thus, the schema differences of various hospitals can be overcome, and the flexibility for field alterations and addition is ensured. The timeline mode can easily be used to generate a vis作者: RADE 時間: 2025-3-28 19:32
