Titlebook: Computational Intelligence in Data Science; Third IFIP TC 12 Int Aravindan Chandrabose,Ulrich Furbach,Anand Kumar M Conference proceedings

用肘

Customer Relationship Managementposed model in terms of accuracy measures such as precision@k and recall@k and error measures, namely, MAE, MSE and RMSE is discussed in this paper. The evaluation shows that the proposed system outperforms other recommender system with minimum MAE and RMSE.

Cirrhosis

Merchandise and Category Managementhe originality of this research work lies in identifying sensitive keywords that reveal Tweeter’s Personally Identifiable Information through the novel Topic Keyword Extractor. The potential sensitive topics in which the social media users frequently exhibit personal information and unintended infor

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斥责

Strategic Safety Stocks in Supply Chainsgenerating WM (watermark) which makes the WMG secure. The technique is analyzed using the images given in datasets, signal and image processing institute (SIPI), break our watermarking system (BOWS), and Copydays. The experimental results of the proposed scheme are promising.

包庇

Single-Echelon Inventory Models,s a face image based on the minimum distance. Experiments have been performed with FEI and ORL face databases for the evaluation of approximation string matching algorithms and the results demonstrate the utility of distance measures for the face recognition system.

SSRIS

Coronary-Spasm

Sales as the Key to Change Within Companies,nique. In this paper, malware family recognition is formulated as multi classification task and appropriate solution is obtained using representation learning based on binary array of malware executable files. Six families of malware have been considered here for building the models. The feature dat

指耕作

Inflated