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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 18-2

Big Data - Bigdata 2020: 9th International Conference, Held as Part of the Services Conference Federation, Scf 2020, Honolulu, Hi, Usa, September 18-2 (Paperback, 2020)

Surya Nepal, MD Zakirul Alam Bhuiyan, Xuan Guo, Aziz Nasridinov, Wenqi Cao (엮은이)
Springer
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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 18-2
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책 정보

· 제목 : Big Data - Bigdata 2020: 9th International Conference, Held as Part of the Services Conference Federation, Scf 2020, Honolulu, Hi, Usa, September 18-2 (Paperback, 2020) 
· 분류 : 외국도서 > 컴퓨터 > 데이터베이스 관리 > 일반
· ISBN : 9783030596118
· 쪽수 : 254쪽
· 출판일 : 2020-09-18

목차

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.

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