An XML approach to knowledge discovery in databases

被引:0
|
作者
Kotásek, P [1 ]
Zendulka, J [1 ]
机构
[1] Brno Univ Technol, Dept Comp Sci & Engn, Brno 61266, Czech Republic
来源
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, the XML language has been receiving much interest among IT community. It has many nice properties that make it a great candidate for representation of different kinds of data. In this paper we will propose an XML framework for the domain of knowledge discovery in databases. This is not a specification document; this article tries to be a compendium of ideas and remarks concerning the broad area of knowledge discovery in databases. It tries to outline one of the many possible solutions - the usage of XML.
引用
收藏
页码:141 / 148
页数:8
相关论文
共 50 条
  • [21] Knowledge discovery in bibliographic databases
    Green, R
    LIBRARY & INFORMATION SCIENCE RESEARCH, 2000, 22 (04) : 433 - 435
  • [22] Knowledge discovery in spatial databases
    Ester, M
    Kriegel, HP
    Sander, J
    KI-99: ADVANCES IN ARTIFICIAL INTELLIGENCE, 1999, 1701 : 61 - 74
  • [23] Role of domain knowledge in knowledge discovery in databases
    Owrang, M.Mehdi
    Microcomputer Applications, 1997, 16 (01): : 11 - 18
  • [24] A Study of Interestingness Measures for Knowledge Discovery in Databases-A Genetic Approach
    Garima, Goyal
    Vashishtha, Jyoti
    COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 2, 2015, 32 : 69 - 79
  • [25] Rough-set inspired approach to knowledge discovery in business databases
    Kowalczyk, W
    Piasta, Z
    RESEARCH AND DEVELOPMENT IN KNOWLEDGE DISCOVERY AND DATA MINING, 1998, 1394 : 186 - 197
  • [26] An informed interactive query approach for knowledge discovery from heterogeneous databases
    Chen, M
    Zhu, Q
    Chen, Z
    IC-AI'2000: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 1-III, 2000, : 15 - 21
  • [27] Knowledge discovery in medical multi-databases: A rough set approach
    Tsumoto, S
    PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY, 1999, 1704 : 147 - 155
  • [28] XML, metadata and efficient knowledge discovery
    Lang, K
    Burnett, M
    KNOWLEDGE-BASED SYSTEMS, 2000, 13 (05) : 321 - 331
  • [29] Logical calculi for knowledge discovery in databases
    Rauch, J
    PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY, 1997, 1263 : 47 - 57
  • [30] Discovery of temporal knowledge from databases
    Watanabe, K
    Miura, T
    Shioya, I
    INFORMATION REUSE AND INTEGRATION, 2001, : 13 - 17