Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

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Expostulate

Social and Content Based Collaborative Filtering for Point-of-Interest RecommendationsAlthough previous researches have presented a variety of methods to recommend POIs by utilizing social relation, geographical mobility data and user content profile, they fail to address user/location’s cold-start problem with high-dimensional sparse data, and overlook the compatibility of social re

arabesque

exophthalmos

Multiclass Imbalanced Classification Using Fuzzy C-Mean and SMOTE with Fuzzy Support Vector Machinembalanced multiclass classification problem. The mean number of classes is used as the number of instances for applying undersampling and oversampling. Using the mean as the fixed number of the required instances for each class can prevent the within-class imbalance data from being eliminated errone

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擦掉

Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transitiily production management, the real-time power consumption is manually recorded from the voltmeter. However, it is difficult to collect the power consumption especially in the dynamic adjustment. In this paper, a power consumption prediction model is proposed for dynamic adjustment in the hydrocrack

Sad570

Learning with Partially Shared Features for Multi-Task Learningng the task relationship is essential for multi-task learning. Most previous works assume that related tasks have common shared structure. However, this assumption is too restrictive. In some real-world applications, relevant tasks are partially sharing knowledge at the feature level. In other words

infatuation

Power Users Behavior Analysis and Application Based on Large Data database, the paper adopts the method of questionnaire to collect information. Then according to the characteristics of power users, the index system is established, and the index is selected. Different construction methods are adopted for different models. Here, the K-means algorithm is used to cl

串通

Accelerated Matrix Factorisation Method for Fuzzy Clustering exponent parameter compared with traditional fuzzy c-means, and not sensitive to initial conditions. However, F-FCM does not propose an efficient method to solve the constrained problem, and just suggests to use a .() function in MATLAB which lead to slow convergence rate and nonconvergence. In thi

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Mining Mobile Phone Base Station Data Based on Clustering Algorithms with Application to Public Trafper, we extend the classic algorithms to design the shuttle bus route. The contribution of this paper is mainly manifested on (1) we integrate the classical machine learning methods DBSCAN and GMM to complete mobile phone base station data modeling, so that to learn the residents’ spatial travel pat