LEADER 04051nam 22006375 450 001 996465361203316 005 20211006163619.0 010 $a981-15-7205-4 024 7 $a10.1007/978-981-15-7205-0 035 $a(CKB)4100000011343318 035 $a(DE-He213)978-981-15-7205-0 035 $a(MiAaPQ)EBC6272265 035 $a(PPN)25806031X 035 $a(EXLCZ)994100000011343318 100 $a20200709h20202020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData mining and big data $e5th International Conference, DMBD 2020, Belgrade, Serbia, July 14?20, 2020, proceedings /$fYing Tan, Yuhui Shi, Milan Tuba, (eds.) 210 1$aSingapore :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (x, 117 pages) $cillustrations 225 1 $aCommunications in computer and information science,$x1865-0937 ;$v1234 311 $a981-15-7204-6 320 $aIncludes bibliographical references and index. 327 $aAdaptive and Dynamic Knowledge Transfer in Multi-task Learning with Attention Networks -- RPP Algorithm: a Method for Discovering Interesting Rare Itemsets -- Pareto Optimization in Oil Refinery -- Hypothesis Verication for Designing Flyback Booster by Analysis of Variance Visualized on Triangular Matrix Representations -- Application of Decision Tree Algorithm Based on Clustering and Entropy Method Level Division for Regional Economic Index Selection -- An Evaluation Algorithm of the Importance of Network Node Based on Community Influence -- PCA Based Kernel Initialization for Convolutional Neural Networks -- Research on PM2.5 Integrated Prediction Model Based on lasso-RF-GAM -- Research on Short-term Urban Traffic Congestion Based on Fuzzy Comprehensive Evaluation and Machine Learning -- Analysis of Breast Cancer Detection Using Different Machine Learning Techniques. 330 $aThis book constitutes refereed proceedings of the 5th International Conference on Data Mining and Big Data, DMBD 2020, held in July 2020. Due to the COVID-19 pandemic the conference was held in a fully virtual format. The 7 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 39 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. 410 0$aCommunications in computer and information science ;$v1234. 517 3 $aDMBD 2020 606 $aData mining$vCongresses 606 $aBig data$vCongresses 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 615 0$aData mining 615 0$aBig data 615 14$aComputer Applications. 615 24$aInformation Systems and Communication Service. 615 24$aArtificial Intelligence. 615 24$aMathematics of Computing. 615 24$aComputer Systems Organization and Communication Networks. 676 $a005.7 702 $aTan$b Ying 702 $aShi$b Yuhui 702 $aTuba$b Milan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465361203316 996 $aData Mining and Big Data$92069903 997 $aUNISA