Titlebook: Computational Intelligence and Intelligent Systems; 6th International Sy Zhenhua Li,Xiang Li,Zhihua Cai Conference proceedings 2012 Springe

重要

書目名稱Computational Intelligence and Intelligent Systems影響因子(影響力)




書目名稱Computational Intelligence and Intelligent Systems影響因子(影響力)學(xué)科排名




書目名稱Computational Intelligence and Intelligent Systems網(wǎng)絡(luò)公開度




書目名稱Computational Intelligence and Intelligent Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Intelligence and Intelligent Systems被引頻次




書目名稱Computational Intelligence and Intelligent Systems被引頻次學(xué)科排名




書目名稱Computational Intelligence and Intelligent Systems年度引用




書目名稱Computational Intelligence and Intelligent Systems年度引用學(xué)科排名




書目名稱Computational Intelligence and Intelligent Systems讀者反饋




書目名稱Computational Intelligence and Intelligent Systems讀者反饋學(xué)科排名

得罪人

混合,攙雜

Brocas-Area

New Proofs for Several Combinatorial Identitiesr of surprising inverse series relations. Combing Gould-Hsu inversions just mentioned with Vandermonde’s formula, four known terminating .??series identities are recovered. In addition, new proofs for two extensions of .-Chu-Vandermonde identity due to Fang[6] and two formulae on Stirling numbers of

大火

愛花花兒憤怒

Research and Realization of N–Queens Problem Based on the Logic Language Prologming language Prolog, the author uses Prolog program to solve the 8-queen up to N-queen problem and improve running speed and simplify the algorithm complexity by the agency of features of Prolog logic language and through optimizing recursive algorithm.

愛花花兒憤怒

Enterprise Information Management Based on Cloud Platformlogy, the paper introduced the concept of cloud data management system, analysis the basic principles of BigTable, Hbase and Sector / Sphere which are the main Internet cloud data management system at present in depth. Then propose the idea that cloud computing can apply to the enterprise which woul

拱形大橋

uDisC: An Ultra-Lightweight and Distributed Scheme for Defending against Data Loss Attack in RFID Ne number of RFID tags may be large or the speed of tags may be fast, the reader may misreading some tags. Thus, the data consistence is damaged in central RFID database. Currently, many solutions are proposed for this problem. However, few of them paid much efforts in computation overhead and respons

Callus

UTTER

Personalized Friend Recommendation in Social Network Based on Clustering Methodion to recommend potential friends for users. However, their algorithms are based on the amounts of common friends, which has some drawbacks in accuracy. We proposed a new recommendation method by combining the existed ’friend of friend’ algorithm and content-based recommendation. Through this metho