GC—异构数据集的整体分析

Silvana Podaras, Michael Beham, R. Splechtna, D. Gračanin, K. Matkovič
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引用次数: 0

摘要

2017年的VAST挑战赛设置在一个虚构的自然保护区,周围是一个小型工业区,有四家公司和一个中型城市。在这个地区,当地的一种鸟,玫瑰冠蓝鹦鹉的数量正在减少。大挑战的任务是结合三个小挑战的发现和额外的文本数据,并建立一个关于什么(和谁)会影响鸟类种群的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GC --- Holistic Analysis of Heterogeneous Datasets
The 2017 VAST Challenge is set in a fictional natural preserve surrounded by a small industrial area with four companies and a mid-size city. In this area, the population of a local bird, the Rose-Crested Blue Pipit, is decreasing. The task of the Grand Challenge was to combine findings of the three Mini-Challenges and additional textual data and build a hypothesis about what (and who) could impact the birds population.
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