標(biāo)題: Titlebook: Data Visualization and Knowledge Engineering; Spotting Data Points Jude Hemanth,Madhulika Bhatia,Oana Geman Book 2020 Springer Nature Switz [打印本頁(yè)] 作者: coerce 時(shí)間: 2025-3-21 17:22
書(shū)目名稱(chēng)Data Visualization and Knowledge Engineering影響因子(影響力)
書(shū)目名稱(chēng)Data Visualization and Knowledge Engineering影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Data Visualization and Knowledge Engineering網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Data Visualization and Knowledge Engineering網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Data Visualization and Knowledge Engineering被引頻次
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書(shū)目名稱(chēng)Data Visualization and Knowledge Engineering年度引用學(xué)科排名
書(shū)目名稱(chēng)Data Visualization and Knowledge Engineering讀者反饋
書(shū)目名稱(chēng)Data Visualization and Knowledge Engineering讀者反饋學(xué)科排名
作者: 肉體 時(shí)間: 2025-3-21 21:58
https://doi.org/10.1007/978-3-031-21671-8als etc. This chapter attempts to explore the various techniques and reveals the human–machine cooperation by implementing recommendation systems, especially meant for entertainment industry. In summary, the essence of this treatise is the soft computing/knowledge engineering approaches (such as fil作者: Rct393 時(shí)間: 2025-3-22 00:37
Lecture Notes in Computer Scienceoral link between the frames that can be exploited using some temporal neural networks like Long Short-Term Memory (LSTM) or Recurrent Neural Networks (RNNs) they prove to be useful in case of designing deep learning based architecture for the event and video summarization. Similarly, for text, it c作者: Itinerant 時(shí)間: 2025-3-22 06:44
Computational Thinking Educations two models has been proposed, both these models not only consider syntactic similarity but also semantic similarity between sentences. To capture semantic similarity, embedding models like word2vec or paragraph vectors has been used. Next, to generate abstract version of these sentences a RNN auto作者: 我不重要 時(shí)間: 2025-3-22 09:28 作者: AMITY 時(shí)間: 2025-3-22 16:46
P. Kevin Keith,Florence R. Sullivan,Duy Pham like machine learning and deep learning are highly effective in overcoming the hurdles which are blocking the path to sustainable future. This paper introduces a methodology which can be adopted to understand the goals of sustainable development by means of knowledge engineering, machine learning a作者: AMITY 時(shí)間: 2025-3-22 20:32
Michael Vallance,Phillip A. Towndrowcision analysis of the NER with respect to six vital aspects. All these aspects are collaborated and visualized in details within the chapter. The future research directions, challenges, and open issues in the field of NER are also presented for keen researchers. One can then design a unified, coher作者: PET-scan 時(shí)間: 2025-3-22 22:09 作者: debble 時(shí)間: 2025-3-23 02:18
Cross Projects Defect Prediction Modeling,alidate the performance of the models. The results indicate that cross projects defect prediction with homogeneous metric sets are comparable to within project defect prediction with statistical significance.作者: glucagon 時(shí)間: 2025-3-23 07:46
Recommendation Systems for Interactive Multimedia Entertainment,als etc. This chapter attempts to explore the various techniques and reveals the human–machine cooperation by implementing recommendation systems, especially meant for entertainment industry. In summary, the essence of this treatise is the soft computing/knowledge engineering approaches (such as fil作者: AFFIX 時(shí)間: 2025-3-23 13:21
Image Collection Summarization: Past, Present and Future,oral link between the frames that can be exploited using some temporal neural networks like Long Short-Term Memory (LSTM) or Recurrent Neural Networks (RNNs) they prove to be useful in case of designing deep learning based architecture for the event and video summarization. Similarly, for text, it c作者: subordinate 時(shí)間: 2025-3-23 15:40 作者: IOTA 時(shí)間: 2025-3-23 20:40 作者: thrombosis 時(shí)間: 2025-3-24 00:20
Challenges and Responses Towards Sustainable Future Through Machine Learning and Deep Learning, like machine learning and deep learning are highly effective in overcoming the hurdles which are blocking the path to sustainable future. This paper introduces a methodology which can be adopted to understand the goals of sustainable development by means of knowledge engineering, machine learning a作者: Lipoprotein 時(shí)間: 2025-3-24 05:16
Research Trends for Named Entity Recognition in Hindi Language,cision analysis of the NER with respect to six vital aspects. All these aspects are collaborated and visualized in details within the chapter. The future research directions, challenges, and open issues in the field of NER are also presented for keen researchers. One can then design a unified, coher作者: PRO 時(shí)間: 2025-3-24 06:32 作者: 軟弱 時(shí)間: 2025-3-24 11:37 作者: Junction 時(shí)間: 2025-3-24 16:07 作者: aneurysm 時(shí)間: 2025-3-24 21:42 作者: 推延 時(shí)間: 2025-3-24 23:57 作者: 枕墊 時(shí)間: 2025-3-25 06:26 作者: OVERT 時(shí)間: 2025-3-25 07:30 作者: Amendment 時(shí)間: 2025-3-25 13:23 作者: 移動(dòng) 時(shí)間: 2025-3-25 19:30
Relevant Subsection Retrieval for Law Domain Question Answer System,ry entered by the user. Syntactic and semantic analysis of legal documents followed by query processing helps in retrieving inferences from the knowledge base to answer the query. In our research, various models have been analyzed in the opinion of the document matching threshold value. Satisfactory results are obtained by 0.5 threshold value.作者: Mettle 時(shí)間: 2025-3-25 20:28
https://doi.org/10.1007/978-3-319-93566-9fusion filtering is applied on brain MRI to remove the noise and improving the image quality. The extracted features provided as data for training the convolutional neural network and performing classification. The proposed research achieves higher accuracy of 98% which is better over existing methods.作者: Acetaldehyde 時(shí)間: 2025-3-26 01:35 作者: 他一致 時(shí)間: 2025-3-26 06:25 作者: 盲信者 時(shí)間: 2025-3-26 12:26 作者: 碎片 時(shí)間: 2025-3-26 14:45
Data Visualization Techniques, Model and Taxonomy,fied by the very fact that almost the amount of data generated since the hundreds of years has been generated in the recent years and it gives us a general sense of how important data has become and it is expected to increase only in the imminent future, and that is why it is important to visualize the data.作者: Munificent 時(shí)間: 2025-3-26 17:23
Prevalence of Visualization Techniques in Data Mining,ng and visualization techniques. The chapter also discusses how visualization can be applied in real life applications where data needs to be mined as the most important and initial requirement.A detailed explanation of graphical tools and plotting various types of plots for sample datasets using R software is given.作者: 花爭(zhēng)吵 時(shí)間: 2025-3-27 00:22 作者: Hormones 時(shí)間: 2025-3-27 01:21 作者: fastness 時(shí)間: 2025-3-27 06:36 作者: hermitage 時(shí)間: 2025-3-27 10:23 作者: SYN 時(shí)間: 2025-3-27 13:42
Liang Zhang,Justin Lieffers,Adarsh Pyarelall as there is sufficient amount of data available to train any model. But rarely local training data of the projects is available for predictions. There are many public defect data repositories available from various organizations. This availability leads to the motivation for Cross projects defect 作者: 細(xì)節(jié) 時(shí)間: 2025-3-27 21:18
https://doi.org/10.1007/978-3-031-21671-8tion load. Access to open source creates ever-growing content on web, where user will succumb to thousands of arrays of options available, when seeking for any product or services. As the entertainment industry is no way an exception, optimization of user’s choice is of utmost importance. Recommenda作者: Aerophagia 時(shí)間: 2025-3-27 23:35
Lecture Notes in Computer Scienceervices to customers will be limited by the type of analysis and knowledge that we can extract from the data. Images constitute a fair share of information in the large form of media that is used for communication. For example text, video, audio to name other few along with their meaningful combinat作者: 盡管 時(shí)間: 2025-3-28 05:17 作者: inflate 時(shí)間: 2025-3-28 06:17
Computational Thinking Educationrticles are available for users to read. However, these documents lack a concise summary. Automatic systems that summarize such information are very rare. Moreover, these systems also lack the ability of getting information from multiple places and presenting the user with a coherent, informative su作者: antenna 時(shí)間: 2025-3-28 13:13 作者: 禁止 時(shí)間: 2025-3-28 16:06
P. Kevin Keith,Florence R. Sullivan,Duy Pham to blend inflating concerns regarding a variety of environmental issues along with socio-economic issues. Shifts in the demeanour of individuals, institutes and firms are presumed as a prerequisite for sustainable development. Through the mode of sustainable development, we can identify our positio作者: EXULT 時(shí)間: 2025-3-28 20:18
https://doi.org/10.1007/978-3-319-93566-9n plays important role in developing robust computer aided diagnosis system. The analysis is performed in proposed work to provide automation in brain tumor segmentation. The adaptive particle swarm optimization along with OTSU is contributed to determine the optimal threshold value. Anisotropic dif作者: 懸掛 時(shí)間: 2025-3-29 00:50 作者: 龍卷風(fēng) 時(shí)間: 2025-3-29 07:02
Michael Vallance,Phillip A. Towndrow date, time and others. NER serves as one of the most valuable application tools for varying languages and domains. Despite its popularity and successful deployment in English, this area is still exploratory for the Hindi language. NER in Hindi is a challenging task due to the scarceness of language作者: hegemony 時(shí)間: 2025-3-29 10:34
Processes of Digital Symbol Manipulation,nsignificant as the notification popping up on our cell phones. The data around us is growing exponentially and is expected to grow with a speed unanticipated and hence it becomes very important to store, manage and visualize data. To get a sense of how much data has become relevant to us gets justi作者: 賭博 時(shí)間: 2025-3-29 11:27
Lecture Notes in Computer Sciencentegration of visualization with data mining can prove to be a great resource.With the development of a large number of information visualization techniques over the last decades, the exploration of large sets of data is well supported. In this chapter, we present a detailed explanation of data mini作者: indecipherable 時(shí)間: 2025-3-29 17:03 作者: Frequency 時(shí)間: 2025-3-29 22:31 作者: 教育學(xué) 時(shí)間: 2025-3-30 01:01 作者: flex336 時(shí)間: 2025-3-30 05:22 作者: 混合,攙雜 時(shí)間: 2025-3-30 11:43
Image Collection Summarization: Past, Present and Future,ervices to customers will be limited by the type of analysis and knowledge that we can extract from the data. Images constitute a fair share of information in the large form of media that is used for communication. For example text, video, audio to name other few along with their meaningful combinat作者: Ringworm 時(shí)間: 2025-3-30 14:18
Deep Learning Based Semantic Segmentation Applied to Satellite Image,nd requires a host of support. Further automation of information extraction, reliability and decision making regarding content are essential and vital elements. Of late, among the learning based approaches deep neural network (DNN) supported methods have been to efficient and reliable. In this work 作者: 大范圍流行 時(shí)間: 2025-3-30 18:39 作者: HAVOC 時(shí)間: 2025-3-30 23:12
Semantic Web and Data Visualization,age the unstructured data available on web pages efficiently. Semantic Web or also known as Web of Trust structures the scattered data on the Internet according to the needs of the user. It is an extension of the World Wide Web (WWW) which focuses on manipulating web data on behalf of Humans. Due to作者: BLAZE 時(shí)間: 2025-3-31 02:00
Challenges and Responses Towards Sustainable Future Through Machine Learning and Deep Learning, to blend inflating concerns regarding a variety of environmental issues along with socio-economic issues. Shifts in the demeanour of individuals, institutes and firms are presumed as a prerequisite for sustainable development. Through the mode of sustainable development, we can identify our positio作者: indubitable 時(shí)間: 2025-3-31 09:00
Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convoln plays important role in developing robust computer aided diagnosis system. The analysis is performed in proposed work to provide automation in brain tumor segmentation. The adaptive particle swarm optimization along with OTSU is contributed to determine the optimal threshold value. Anisotropic dif
