Titlebook: Intelligent Data Engineering and Automated Learning -- IDEAL 2014; 15th International C Emilio Corchado,José A. Lozano,Hujun Yin Conference

Malevolent

書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014影響因子(影響力)




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014影響因子(影響力)學科排名




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014網(wǎng)絡公開度




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014網(wǎng)絡公開度學科排名




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014被引頻次




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014被引頻次學科排名




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014年度引用




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014年度引用學科排名




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014讀者反饋




書目名稱Intelligent Data Engineering and Automated Learning -- IDEAL 2014讀者反饋學科排名

ventilate

Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology,matic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by . show the potential of our approach in creating a responsive learning environment.

致敬

Innocence

Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensembling Filter (IPF), which can overcome these problems. The properties of this proposal are discussed in a controlled experimental study against SMOTE and its most well-known generalizations. The results show that the new proposal performs better than exiting SMOTE generalizations for all these different scenarios.

從屬

Automatic Validation of Flowmeter Data in Transport Water Networks: Application to the ATLLc Water ng the different sensors. The methodology is applied to real-data acquired from the ATLLc Water Network. The results demonstrate the performance of the proposed methodology in detecting errors in measurements and in reconstructing them.

ORE

花束

丑惡

愛花花兒憤怒

On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framewtation. In order to assess the performance of the proposed scheme an exemplifying prototype is implemented between DBpedia and LinkedMDB datasets. The obtained results are promising and pave the way towards benchmarking the proposed interlinking procedure with other ontology matching systems.

個人長篇演說

Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters,ality reduction using Principal Component Analysis (PCA). Classification was performed using simple logistic regression. A best overall classification accuracy of 77.2% was achieved using this approach. Results provide evidence that BCI can be potentially used in tandem with bionics for neuro-rehabilitation.