Titlebook: Databases Theory and Applications; 29th Australasian Da Junhu Wang,Gao Cong,Jianzhong Qi Conference proceedings 2018 Springer International

治愈

OREX

gospel

https://doi.org/10.1007/978-3-540-79844-6ts, with the underlying context. Various features such as psycholinguistic, textual and sentimental features are analyzed and Machine Learning techniques are trained to analyze the predictive power of extracted features. Hence, the resulting model achieves more predictive power with high accuracy in

厌恶

Yukio Maruyama,Tamotsu Takishimae of brain signals data and also can be used for handling any other biomedical signal data in time series form (e.g. electrocardiogram (ECG); Electromyogram (EMG)). The main benefit of the proposed methodology is to provide an effective way for analyzing the vast amount of BBSD generated from the br

Tracheotomy

Adaptive Access Path Selection for Hardware-Accelerated DRAM LoadsRU, make it possible to offload memory transfers. In some cases, this improves the throughput by 30%, but other scenarios suffer from reduced performance. We show which factors influence this tradeoff. Based on our experiments, we present an adaptive prediction model that supports the DBMS in decidi

思考

谄媚于人

Melanoma

Histogram Construction for Difference Analysis of Spatio-Temporal Data on Array DBMS instance, comparison of observation datasets in a certain spatial area at different times or comparison of spatial simulation datasets with different parameters are considered to be important. Therefore, this paper proposes a . operator in spatio-temporal data warehouses, based on the notion of his

碎石

ostracize

Social-Textual Query Processing on Graph Database Systems the ones generated from social networks generally has text associated to the graph. Although graph systems provide support for efficient graph-based queries, there have not been comprehensive studies on how other dimensions, such as text, stored within a graph can work well together with graph trav