Knowledge Discovery in Databases

科学家们正在努力在各个领域创造更好的数据、观测和测量。他们的最终目标是从这样的数据中发现。从数据创建开始到以一系列发现结束的过程是我们研究的对象。因此，我们的研究目的是创建计算策略，以总体上加快发现过程。为此，该项目组织了科学领域的研究人员和计算机科学的研究人员，以揭示发现过程中的真实问题，并设计和测试实用的计算技术来解决这些真实问题。A04集团成功地创造了解决这个问题的方案和一系列新的方法，可以有效地加快发现过程。该项目的贡献可以概括为三项：1.为计算发现中的有效/可行的阶段处理开发新的方法/模型。所有的方法都是为实践而开发的，但它们中的大多数都被很好地抽象为通用应用程序。发现系统的整体发现过程和范式的整合策略。除了这些单独的研究活动外，该项目还采取了《发现科学的启蒙》中的倡议，其出版名称为“S.Miyano(客座主编)，关于发现科学的调查，特刊，IEICE信息和系统会刊，E83-D，No.1,2000”和“S.Morishita and S.Miyano(编辑)，发现科学和数据挖掘，Kyoritsu Shuppan2000”。

Scientists are struggling for creating better data, observations, and measurements in various fields. Their ultimate target is a discovery from such data. The process starting from data creation and ending with a series of discoveries is the object of our research. Thus the aim of our research is to create computational strategy for speeding up the discovery process in total. For this purpose, this project is organized with researchers working in scientific domains and researchers from computer science so that real issues in the discovery process will be exposed out and practical computational techniques will be devised and tested for solving these real issues.Group A04 has succeeded in creating solutions to this problem and a bunch of novel methods with which the discovery process can be sped up efficiently. The contributions of this project can be summarized in three items :1. Development of new methods/models for efficient/feasible processing in stages in computational discovery. All methods are developed for practice but most of them are well-abstracted enough for general purpose application.2. Integration strategy for the total discovery process and paradigm of discovery system.3. DiscoveriesIn addition to these individual research activities, this project took the initiatives in enlightenment of Discovery Science which are published as "S. Miyano (Guest Chief Editor), Surveys on Discovery Science, Special Issue, IEICE Transactions on Information and Systems, Vol. E83-D, No, 1, 2000" and "S. Morishita and S. Miyano (eds), Discovery Science and Data Mining, Kyoritsu Shuppan, 2000."