Big Data Mining and AnalyticsOpen AccessEditors-in-Chief: Yi Pan, Weimin Zheng Most Cited:30most cited articles Open Access Multi-view Clustering: A Survey Yan Yang, Hao Wang Published: 12 April 2018 2018, 1(2): 83-107 Open Access ...
Big Data Mining and Analyticsdiscovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications. It addresses the most innovative developments, research issues and solutions in big data research and their applications. Big ...
Big Data Mining and Analyticsdiscovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications. It addresses the most innovative developments, research issues and solutions in big data research and their applications. Big ...
Big Data Mining and AnalyticsOpen AccessEditors-in-Chief: Yi Pan, Weimin Zheng Keyword:machine learning Open Access Survey on Encoding Schemes for Genomic Data Representation and Feature Learning—From Signal Processing to Machine Learning Ning Yu, Zhihua Li, Zeng Yu ...
Home Big Data Mining and Analytics Keyword Keyword: HadoopOpen Access Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools Sunil Kumar, Maninder Singh Published: 15 October 2018 2019, 2(1): 48-57 Open Access A Novel Clustering Technique for Efficient Clustering of...
Big Data Mining And Analytics由IEEE出版商出版,收稿方向涵盖Computer Science - Computer Science Applications全领域,在行业领域中学术影响力很大,属于国际一流期刊,关注度和专业度非常高,所以对原创文章要求创新性很高,过审难度很高,如果您有志于一流期刊,建议关注此刊。平均审稿速度 8 Weeks ,影响因子指数7.7,该期...
《大数据挖掘与分析》(Big Data Mining And Analytics)是一本由IEEE出版的以Computer Science-Computer Science Applications为研究特色的国际期刊,发表该领域相关的原创研究文章、评论文章和综述文章,及时报道该领域相关理论、实践和应用学科的最新发现,旨在促进该学科
《大数据挖掘与分析》(Big Data Mining And Analytics)是一本以Computer Science-Computer Science Applications综合研究为特色的国际期刊。该刊由IEEE出版商该刊已被国际重要权威数据库SCIE收录。期刊聚焦Computer Science-Computer Science Applications领域的重点研究和前沿进展,及时刊载和报道该领域的研究成果,致力于成为该...
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data. This study seeks to determine the state of text mining research...
Data science applied to traffic collisions prediction ... Prediction of emergency calls in San Francisco... Discover how predictive analytics, applied to weather-dependent activities, can enhance your understanding of customers and processes, reduce costs, ...