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图书名称： Mastering Data-Intensive Collaboration and Decision Making， Studies in Big Data Volume 5
作者：Nikos Karacapilidis (Editor)
出版社：Springer International Publishing
页数：314
出版时间：2014
语言：English
格式：pdf
内容简介：
Many collaboration and decision-making settings are nowadays associated with
huge, ever-increasing amounts of multiple types of data, obtained from diverse
sources, which often have a low signal-to-noise ratio for addressing the problem at
hand. These data may also vary in terms of subjectivity and importance, ranging
from individual opinions and estimations to broadly accepted practices and trust-
able measurements and scientific results. Additional problems start when we want
to consider and exploit accumulated volumes of data, which may have been
collected over a few weeks or months, and meaningfully analyze them toward
making a decision. Admittedly, when things get complex, we need to identify,
understand and exploit data patterns; we need to aggregate appropriate volumes of
data from multiple sources, and then mine them for insights that would never
emerge from manual inspection or analysis of any single data source. In these
settings, ‘‘big data’’ analytics technology currently receives much criticism, in that
it does not provide proper insight into what the data means. To make sense of big
data and come with discoveries that help improve decision making in practical
contexts, human intelligence should be also exploited. We need to provide the
appropriate ways to nurture and capture this human intelligence in order to extract
the necessary insights and improve the way machines deal with complex situations.
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