Wol-Young Lee

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XML has rapidly emerged as the standard for the interchange of data in numerous application areas. Many software vendors now offer XML servers to store and retrieve XML documents. To allow for content-based queries, query languages have also been designed. The query languages require the users to know the structure of the XML documents and specify search(More)
One of the virtues of XML is that it allows complex structures to be easily expressed. This allows XML to be used as an intermediate, neutral, and standard form for representing many types of structured or semistructured documents that arise in a great variety of applications. To support for efficient queries against XML data, many query languages have been(More)
In an earlier article, we motivated the need for structure-agnostic, that is, non-navigational, queries against XML documents. The conventional XML query languages require the users to know the structure of the XML documents and specify search conditions on the structure. However, the expressive flexibility of XML can give rise to many different(More)
The process of knowledge discovery in data (KDD) stored in computers in general requires iterations of three stages: data preparation, data mining, and results analysis. A variety of software tools are available for each of the stages. KDD environments, objectives of KDD, and types of data to be mined affect the choice of software tools in each stage. This(More)
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