Titlebook: Web-Age Information Management; 17th International C Bin Cui,Nan Zhang,Dexi Liu Conference proceedings 2016 Springer International Publishi

assent

More Efficient Algorithm for Mining Frequent Patterns with Multiple Minimum Supportshe ME-tree without generating candidates. Furthermore, an improved algorithms, named ., is also proposed based on the . concept, to further increase mining performance. Substantial experiments on real-life datasets show that the proposed approaches not only avoid the “rare item problem”, but also ef

寒冷

An Improved HMM Model for Sensing Data Predicting in WSNesults show that our proposed model can provide higher accuracy in sensing data predicting. This proposed model is promising in the fields of agriculture, industry and other domains, in which the sensing data usually contains various varying patterns.

提炼

An Improved HMM Model for Sensing Data Predicting in WSNesults show that our proposed model can provide higher accuracy in sensing data predicting. This proposed model is promising in the fields of agriculture, industry and other domains, in which the sensing data usually contains various varying patterns.

violate

纠缠

Overstate

修改

Two-Phase Mining for Frequent Closed Episodesthe candidates with different prefixes to discover the final frequent closed episodes. The advantage of the suggested mining strategy is it can reduce mining time due to narrowing episode mapping range when doing closure judgment. Experiments on simulated and real datasets demonstrate that the sugge

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inventory

Mining Top-, Distinguishing Sequential Patterns with Flexible Gap Constraintsints. Our empirical study on real-world data sets demonstrates that GepDSP is effective and efficient, and DSPs with flexible gap constraints are more effective in capturing discriminating sequential patterns.

meditation

Ridesharing Recommendation: Whether and Where Should I Wait?it by investigating the probabilities of possible destinations based on ridesharing requirements. Users are recommended to take a taxi directly if the potential to rideshare with others is not high enough. Experimental results show that the accuracy about whether ridesharing or not and the rideshari