Titlebook: Advanced Data Mining and Applications; 10th International C Xudong Luo,Jeffrey Xu Yu,Zhi Li Conference proceedings 2014 Springer Internatio

櫥柜

書目名稱Advanced Data Mining and Applications影響因子(影響力)




書目名稱Advanced Data Mining and Applications影響因子(影響力)學(xué)科排名




書目名稱Advanced Data Mining and Applications網(wǎng)絡(luò)公開度




書目名稱Advanced Data Mining and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advanced Data Mining and Applications被引頻次




書目名稱Advanced Data Mining and Applications被引頻次學(xué)科排名




書目名稱Advanced Data Mining and Applications年度引用




書目名稱Advanced Data Mining and Applications年度引用學(xué)科排名




書目名稱Advanced Data Mining and Applications讀者反饋




書目名稱Advanced Data Mining and Applications讀者反饋學(xué)科排名

綠州

吝嗇性

Leaven

nitroglycerin

煩躁的女人

0302-9743 in, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, ad

山羊

Conference proceedings 2014during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance mach

兇兆

0302-9743 vance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.978-3-319-14716-1978-3-319-14717-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

歌唱隊(duì)

Seeing China: Shaw and His Contemporariesscovers HUIs without generating candidates and introduces several strategies to handle items with negative unit profits efficiently. Experimental results with six real-life datasets shows that FHN is up to 500 times faster and can use up to 250 times less memory than the state-of-the-art algorithm HUINIV-Mine.

monopoly

Bernard Shaw’s Bridges to Chinese Cultured . and . are proposed to respectively mine these representations. Experiments on both real and synthetic datasets show that proposed algorithms are very efficient and that these representations are up to 36 times smaller than the set of all HUIs.