(Enter summary)
Abstract: Knowledge discovery facilitates querying database knowledge
and intelligent query answering in database systems.
In this paper, we investigate the application of discovered
knowledge, concept hierarchies, and knowledge discovery
tools for intelligent query answering in database
systems. A knowledge-rich data model is constructed to
incorporate discovered knowledge and knowledge discovery
tools. Queries are classified into data queries and knowledge
queries. Both types of queries can be answered ... (Update)
Context of citations to this paper: More
...of these subsystems will lead to too large a system and too high expense to maintain. With the rising of intelligent query answering [10] [8], there are increasingly pressing calls on general purpose data mining methods that are able to extract a wide spectrum of rules so as...
.... in higher layers, many techniques investigated in previous researches into cooperative query answering in (single layer) databases [17, 3, 2, 10, 16] can be extended effectively to cooperative query answering in MLDBs. The following reasoning may convince us that an MLDB may...
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BibTeX entry: (Update)
J. Han, Y. Huang, N. Cercone, and Y. Fu. Intelligent query answering by knowledge discovery techniques. In IEEE Trans. Knowledge and Data Engineering (accepted), 1995. http://citeseer.ist.psu.edu/article/han95intelligent.html More
@article{ han96intelligent,
author = "J. W. Han and Y. Huang and N. Cercone and Y. J. Fu",
title = "Intelligent query answering by knowledge discovery techniques",
journal = "Ieee Trans. On Knowledge And Data Engineering",
volume = "8",
address = "Simon Fraser Univ, Sch Comp Sci, Burnaby, Bc V5A 1S6, Canada Univ Regina, Dept Comp Sci, Regina, Sk S4S 0A2, Canada",
pages = "373--390",
year = "1996",
url = "citeseer.ist.psu.edu/article/han95intelligent.html" }
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