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

Arthur

书目名称Databases Theory and Applications影响因子(影响力)




书目名称Databases Theory and Applications影响因子(影响力)学科排名




书目名称Databases Theory and Applications网络公开度




书目名称Databases Theory and Applications网络公开度学科排名




书目名称Databases Theory and Applications被引频次




书目名称Databases Theory and Applications被引频次学科排名




书目名称Databases Theory and Applications年度引用




书目名称Databases Theory and Applications年度引用学科排名




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书目名称Databases Theory and Applications读者反馈学科排名

Exposition

Using SIMD Instructions to Accelerate Sequence Similarity Searches Inside a Database Systemlso compare it to implementations of the same logic outside the DBMS..Our implementation of an SIMD-accelerated Smith Waterman sequence-alignment algorithm shows an order of magnitude improvement on a non-accelerated version while running inside a DBMS. Our SIMD accelerated version also performs wit

GRIPE

SPALL

吸引人的花招

Interdependent Model for Point-of-Interest Recommendation via Social Networksf locations via links) between locations, based on the TF-IDF conversion of check-in times. Geographic information, such as the longitude and latitude of locations, are incorporated into the interdependent model. Substantial experiments on three social network data sets verify the POI recommendation

儿童

Child Abuse and Domestic Abuse: Content and Feature Analysis from Social Media Disclosurests, 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

儿童

An Efficient Framework for the Analysis of Big Brain Signals Datae 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

PALMY

anagen

不易燃

https://doi.org/10.1007/978-3-642-45622-0an approach, which we call ., that adopts Google’s Auto Awesome philosophy: automatically improve an existing artifact and let the user (developer) decide whether to keep and use the improved artifact. The DBAutoAwesome approach ingests a database application to produce an enhanced application. In t