Titlebook: Database Systems for Advanced Applications; 21st International C Shamkant B. Navathe,Weili Wu,Hui Xiong Conference proceedings 2016 Springe

直觉好

Palgrave European Film and Media Studiesne and distributive, it is much more efficient that .. This observation also inspires the development of our cost model, which can evaluate the best number of merged lists. Experimental results show that ListMerge could outperform the baseline algorithms up to 4–20 times in synthetic datasets generated by various distributions.

sundowning

制定法律

Mei Zhang,Aijun Zhang,Yongdao Zhouir semantic meanings. To achieve that, we propose a novel indexing structure called NIQ-tree, which integrates spatial, textual and semantic information in a hierarchical manner, so as to prune the search space effectively in query processing. Extensive experiments are carried out to evaluate and compare it with other two baseline algorithms.

繁荣地区

corporate

ListMerge: Accelerating Top-k Aggregation Queries Over Large Number of Listsne and distributive, it is much more efficient that .. This observation also inspires the development of our cost model, which can evaluate the best number of merged lists. Experimental results show that ListMerge could outperform the baseline algorithms up to 4–20 times in synthetic datasets generated by various distributions.

打包

TSCluWin: Trajectory Stream Clustering over Sliding Windowopsis data structures are incrementally maintained, and a . phase where a small number of macro-clusters are generated based on micro-clusters. Experimental results show that our proposal is both effective and efficient to handle streaming trajectories without compromising the quality.

不妥协

象形文字

Oren Asman,Yechiel Michael Barilancuracy of STH-Bass based on real-world Twitter data. The evaluation results show that STH-Bass obtains much less APE than the baselines when predicting the trend of a single tweet, and an average of 24 % higher . when classifying the tweets popularity.

易发怒

https://doi.org/10.1007/978-3-319-89827-8at the results of a query . can be computed by using SLICE on only the objects in its guardian set instead of using the whole dataset. Our comprehensive experimental study on synthetic and real datasets demonstrates the proposed approach is the most efficient algorithm for R.NN.

Occipital-Lobe