Titlebook: Computational Intelligence in Data Mining; Proceedings of the I Himansu Sekhar Behera,Janmenjoy Nayak,Danilo Pelus Conference proceedings 2

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書目名稱Computational Intelligence in Data Mining影響因子(影響力)




書目名稱Computational Intelligence in Data Mining影響因子(影響力)學(xué)科排名




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書目名稱Computational Intelligence in Data Mining被引頻次




書目名稱Computational Intelligence in Data Mining被引頻次學(xué)科排名




書目名稱Computational Intelligence in Data Mining年度引用




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書目名稱Computational Intelligence in Data Mining讀者反饋




書目名稱Computational Intelligence in Data Mining讀者反饋學(xué)科排名

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Finding Correlation Between Twitter Influence Metrics and Centrality Measures for Detection of Inflcing many aspects of our lives such as product recommendations, movie reviews, political?campaigns, game predictions, and so on. It can be found that often few individuals tend to be influential enough to drive a whole group or network towards a particular thought. Network Centrality is one of the m

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QMAA: QoS and Mobility Aware ACO Based Opportunistic Routing Protocol for MANET,e network area. The frequent changes in network topology may suffer from the frequent task of link breaks and links building to transfer data from the source node destination node. The quality of service (QoS) performance of such networks mainly depends on how well the routes are stables and efficie

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An Approach to Compress English Posts from Social Media Texts, formally defined?as transformation of sentence into precise form by preserving?the original meaning of the sentence. In this paper, we propose an approach for compressing sentences from Facebook English posts by?dropping those words who contribute very less importance to the overall meaning of sent

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A Deep Learning Approach to Predict Football Match Result,in last two decades and provided the probabilities of outcomes of a scheduled match. In this paper we proposed a deep neural network based model to automatically predict result of a football match. The model is trained on selective features and evaluated?through experiment results. We compared our p

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