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

Arthur

書目名稱Databases Theory and Applications影響因子(影響力)




書目名稱Databases Theory and Applications影響因子(影響力)學(xué)科排名




書目名稱Databases Theory and Applications網(wǎng)絡(luò)公開度




書目名稱Databases Theory and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Databases Theory and Applications被引頻次




書目名稱Databases Theory and Applications被引頻次學(xué)科排名




書目名稱Databases Theory and Applications年度引用




書目名稱Databases Theory and Applications年度引用學(xué)科排名




書目名稱Databases Theory and Applications讀者反饋




書目名稱Databases Theory and Applications讀者反饋學(xué)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

兒童

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

兒童

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