Data crystallization applied for designing new products
Data crystallization applied for designing new products
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DOI：
10.1007/s11518-006-5027-1
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发表时间：
2007-03
影响因子：
1.2
通讯作者：
Kenichi Horie;Y. Maeno;Y. Ohsawa
中科院分区：
文献类型：
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作者：
Kenichi Horie;Y. Maeno;Y. Ohsawa
只有现实世界中可观察到的部分才能存储在数据中。对于这种不完整和结构不良的数据，数据结晶的目的是呈现事件之间的隐藏结构，包括不可观察的事件。这是通过数据结晶实现的，其中将虚拟项插入到给定数据中，对应于不可观察事件的潜在存在。通过将KeyGraph应用于具有虚拟项目的数据，可以将这些虚拟项目及其与可观察事件的关系可视化，例如雪的结晶，其中灰尘参与了水分子结晶的形成。为了调整要可视化的结构的粒度级别，数据结晶工具与人类对现实世界中重要场景的理解过程相结合。这种基本方法有望应用于现实世界的各种领域，在这些领域中，以前的机会发现方法可以使人类成功地做出决策。本文将基于人机交互退火（DCHA）的数据结晶方法应用到实际企业的产品设计中。结果表明了该方法对工业决策的影响。
It is only the observable part of the real world that can be stored in data. For such incomplete and ill-structured data,data crystallizingaims at presenting the hidden structure among events including unobservable events. This is realized by data crystallization, where dummy items, corresponding to potential existence of unobservable events, are inserted to the given data. These dummy items and their relations with observable events are visualized by applying KeyGraph to the data with dummy items, like the crystallization of snow where dusts are involved in the formation of crystallization of water molecules. For tuning the granularity level of structure to be visualized, the tool of data crystallization is integrated with human’s process of understanding significant scenarios in the real world. This basic method is expected to be applicable for various real world domains where previous methods of chance-discovery lead human to successful decision making. In this paper, we apply thedata crystallization with human-interactive annealing(DCHA) to the design of products in a real company. The results show its effect to industrial decision making.