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Knowledge Discovery in Databases

数据库中的知识发现

基本信息

批准号：
10143102
负责人：
MIYANO Satoru
金额：
$ 76.67万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research on Priority Areas (A)
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10143102/
关键词：
data mining knowledge discovery scientific database machine learning statistical science rule discovery wavelet analysis artificial intelligence

项目摘要

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."

科学家们正在努力在各个领域创造更好的数据、观察和测量。他们的最终目标是从这些数据中发现。从数据生成到一系列发现的过程是我们研究的对象。因此，我们研究的目的是创建一个计算策略，以加速整个发现过程。为此目的，该项目由科学领域的研究人员和计算机科学的研究人员组织，以便在发现过程中暴露出实际问题，并设计和测试实用的计算技术来解决这些实际问题。A04小组已经成功地为这个问题创造了解决方案，并提出了一系列可以有效加快发现过程的新方法。本项目的贡献可以概括为三个方面：1。在计算发现的各个阶段为有效/可行的处理开发新方法/模型。所有的方法都是为实践而开发的，但大多数方法都很抽象，足以用于一般用途。整个发现过程的整合策略与发现系统的范式。除了这些个人研究活动外，本项目还在发现科学的启蒙方面采取了主动行动，发表为“S. Miyano（客座主编），关于发现科学的调查，特刊，IEICE信息与系统学报，卷E83-D，第1期，2000”和“S. Morishita和S. Miyano（主编），发现科学与数据挖掘，共立书刊，2000”。