Titlebook: Data Visualization and Knowledge Engineering; Spotting Data Points Jude Hemanth,Madhulika Bhatia,Oana Geman Book 2020 Springer Nature Switz

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書目名稱Data Visualization and Knowledge Engineering影響因子(影響力)




書目名稱Data Visualization and Knowledge Engineering影響因子(影響力)學(xué)科排名




書目名稱Data Visualization and Knowledge Engineering網(wǎng)絡(luò)公開度




書目名稱Data Visualization and Knowledge Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Visualization and Knowledge Engineering被引頻次




書目名稱Data Visualization and Knowledge Engineering被引頻次學(xué)科排名




書目名稱Data Visualization and Knowledge Engineering年度引用




書目名稱Data Visualization and Knowledge Engineering年度引用學(xué)科排名




書目名稱Data Visualization and Knowledge Engineering讀者反饋




書目名稱Data Visualization and Knowledge Engineering讀者反饋學(xué)科排名

肉體

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

Rct393

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

Itinerant

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

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AMITY

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

AMITY

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

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debble

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.

glucagon

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