Big data - BigData 2020 = 9th Intern...
BigData (Conference) (2020 :)

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  • Big data - BigData 2020 = 9th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Big data - BigData 2020/ edited by Surya Nepal ... [et al.].
    其他題名: 9th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020 : proceedings /
    其他題名: BigData 2020
    其他作者: Nepal, Surya.
    團體作者: BigData (Conference)
    出版者: Cham :Springer International Publishing : : 2020.,
    面頁冊數: xiv, 254 p. :ill., digital ;24 cm.
    內容註: Research 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.
    Contained By: Springer Nature eBook
    標題: Big data - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-59612-5
    ISBN: 9783030596125
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W9404639 電子資源 11.線上閱覽_V 電子書 EB QA76.9.B45 B54 2020 一般使用(Normal) 在架 0
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