Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2017; 18th International C Hujun Yin,Yang Gao,Minling Zhang Conference proceedi

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書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017影響因子(影響力)




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017影響因子(影響力)學(xué)科排名




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017網(wǎng)絡(luò)公開度




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017被引頻次




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017被引頻次學(xué)科排名




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017年度引用




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017年度引用學(xué)科排名




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017讀者反饋




書目名稱Intelligent Data Engineering and Automated Learning – IDEAL 2017讀者反饋學(xué)科排名

越自我

A Community Detection Algorithm Based on Jaccard Similarity Label Propagation,accuracy of data sets of real networks are measured by modularity and normalized mutual information, respectively. Experimental results show that, the proposed algorithm for community detection results is more stable and more accurate than LPA, LPA_SI and KLPA algorithms in the cases of near linear time complexity.

Mystic

Melodrama

Information Retrieval with Implicitly Temporal Queries,ce model. Both of them consider both aspects of content and time to rank all the documents involved. Experiment results with the dataset that was used in the Temporal Information Access task of NTCIR-11 show that our approaches are effective.

ANN

A Community Detection Algorithm Based on Local Double Rings and Fireworks Algorithm,Nodes chose labels based on the idea of LPA. Finally, tests on real-world and synthetic networks were given. The experimental results show that the proposed algorithm has better performance than existing methods in finding community structure.

Asymptomatic

Conference proceedings 20177, held in Guilin, China, in October/November 2017..The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applicat

灰姑娘

0302-9743 listic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis..978-3-319-68934-0978-3-319-68935-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

Dedication

指派

Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System,stem into representations in spherical coordinate system prior to a classification step. Experimental results demonstrate that the activities involving rotational movements can be better differentiated by the spherical coordinate system.

燒烤

Multi-output LSSVM-Based Forecasting Model for Mid-Term Interval Load Optimized by SOA and Fresh Deied out on the electricity markets data from Jiangsu province. Analytical results show that the novel optimized prediction model is superior to others listed algorithms in predicting interval-valued loads with lower ., . and MAPE.