LEADER 04272nam 2200517 450 001 996418282003316 005 20210218003008.0 010 $a3-030-59612-5 024 7 $a10.1007/978-3-030-59612-5 035 $a(CKB)4100000011457733 035 $a(DE-He213)978-3-030-59612-5 035 $a(MiAaPQ)EBC6352846 035 $a(PPN)25022075X 035 $a(EXLCZ)994100000011457733 100 $a20210218d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBig Data - BigData 2020 $e9th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, proceedings /$fSurya Nepal [and five others] 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (XIV, 254 p. 130 illus., 91 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v12402 300 $aIncludes index. 311 $a3-030-59611-7 327 $aResearch Track -- Entropy-based Approach to Efficient Cleaning of Big Data in Hierarchical Databases -- A Performance Prediction Model for Spark Applications -- Predicting the DJIA with news headlines and historic data using hybrid genetic algorithm/support vector regression and BERT -- Big Data Applications on Large-Scale Infrastructures -- Fake News Classification of Social Media through Sentiment Analysis -- Scalable reference genome assembly from compressed pan-genome index with Spark -- A Web Application for Feral Cat Recognition through Deep Learning -- MCF?Towards Window-based Multiple Cuckoo Filters in Stream Computing -- A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems -- Ensemble learning for heterogeneous missing data imputation -- Validating Goal-Oriented Hypotheses of Business Problems Using Machine Learning: An Exploratory Study of Customer Churn -- The collaborative influence of multiple interactions on successive POI recommendation -- Application Track -- Chemical XAI to Discover Probable Compounds' Spaces based on Mixture of Multiple Mutated Exemplars and Bioassay Existence Ratio -- Clinical Trials Data Management in the Big Data Era -- Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches -- Heavy Vehicle Classification through Deep Learning -- Short Paper Track -- Spatial Association Pattern Mining using In-Memory Computational Framework -- Dissecting Biological Functions for BRCA Genes and their Targeting MicroRNAs within Eight Clusters. 330 $aThis book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 3 short papers presented were carefully reviewed and selected from 52 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions. . 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v12402 606 $aSociety & social sciences 606 $aBig data$vCongresses 606 $aEducational equipment & technology, computer-aided learning (CAL) 615 0$aSociety & social sciences. 615 0$aBig data 615 0$aEducational equipment & technology, computer-aided learning (CAL) 676 $a005.7 702 $aNepal$b Surya 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418282003316 996 $aBig Data - BigData 2020$92047301 997 $aUNISA LEADER 01584nam 22004093 450 001 996678674103316 005 20250920060326.0 010 $a3-032-04627-0 035 $a(MiAaPQ)EBC32301878 035 $a(Au-PeEL)EBL32301878 035 $a(CKB)40970661600041 035 $a(EXLCZ)9940970661600041 100 $a20250920d2025 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDocument Analysis and Recognition - ICDAR 2025 $e19th International Conference, Wuhan, China, September 16-21, 2025, Proceedings, Part IV 205 $a1st ed. 210 1$aCham :$cSpringer,$d2025. 210 4$dİ2026. 215 $a1 online resource (1018 pages) 225 1 $aLecture Notes in Computer Science Series ;$vv.16026 311 08$a3-032-04626-2 330 $aThe 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.  The total of 142 full papers included in the proceedings was carefully reviewed and selected from 314 submissions. 410 0$aLecture Notes in Computer Science Series 700 $aYin$b Xu-Cheng$01735032 701 $aKaratzas$b Dimosthenis$01849866 701 $aLopresti$b Daniel$0899206 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996678674103316 996 $aDocument Analysis and Recognition - ICDAR 2025$94442689 997 $aUNISA