Titlebook: Volkswirtschaftslehre für Sozialwissenschaftler; Eine Einführung Holger Rogall Textbook 20061st edition VS Verlag für Sozialwissenschaften

摩擦

書目名稱Volkswirtschaftslehre für Sozialwissenschaftler影響因子(影響力)




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler影響因子(影響力)學(xué)科排名




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler網(wǎng)絡(luò)公開度




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler被引頻次




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler被引頻次學(xué)科排名




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler年度引用




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler年度引用學(xué)科排名




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler讀者反饋




書目名稱Volkswirtschaftslehre für Sozialwissenschaftler讀者反饋學(xué)科排名

尖叫

uveitis

ifier suitable for the above features. Finally, the Android malicious code detection system was designed and implemented based on the multi-layer hybrid algorithm. The experimental results show that the system performs Android malicious code detection based on the combination of signature and dynami

FIS

ve ability by not removing neurons. We borrow the strength of stochastic methods to solve the structural risk minimization problem. Experiments show that the regularization term features prominently in sparsity and the stochastic algorithm performs well.

declamation

故意

management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven busi

indemnify

ch is considered to 100x faster than MapReduce in certain applications. Result shown Apache Spark is in-memory computations which helps a lot in the retrieval of similar images. Apache Spark framework has been used when the images are newly inserted into the Cloud storage at the point of which featu

隼鷹

ho like your page”, V8 “l(fā)ifetime people who have liked your page and engaged with your post”; and the independent variable was V9 “Total interactions - the sum total of comments, likes, and shares of a post”. The results show that not all predictors are significant in explaining the criterion variab

LIMIT

s of reduced data size and mean classification accuracy is measured and compared with existing instance based learning and attribute reduction methods. The experimental result reveals that the performance of the proposed method is positively better than current methods.

少量