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




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




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

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https://doi.org/10.1007/978-3-531-90253-1adual drift. We propose a novel algorithm that tracks changes in drift intensity relative to previous drift points within the stream. The algorithm is based on mapping drift patterns to a Gaussian function. Our experimental results show that the algorithm is robust and achieving accuracy levels above 90%.

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Conference proceedings 2013 Applications, ADMA 2013, held in Hangzhou, China, in December 2013. .The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mini

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