Titlebook: Advanced Data Mining and Applications; 9th International Co Hiroshi Motoda,Zhaohui Wu,Wei Wang Conference proceedings 2013 Springer-Verlag

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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




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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




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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

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Minimising ,-Dominating Set in Arbitrary Network Graphsgh confirmation requires experimental validation. In this chapter, an effort has been made to understand the characteristic features of plant miRNA compared to animal miRNAs and to review the recent advances in various computational tools made for identification of plant miRNAs.

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Deep Architecture for Traffic Flow Predictionese high-lysine mutants in maize, sorghum, and barley, while increasing lysine content, all have reduced seed size and grain yield. Studies with maize indicates that zein (prolamin) is the major factor influencing kernel weight, grain yield, and protein nutritional quality (Tsai . 1978a, 1980).

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Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation genomes has been used in the development of resistant transgenic plants and they have been effective in different pathosystems; paving the way towards a new collection of anti-viral biotech breeding strategies.

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