Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Closed and Maximal Frequent Subtrees from Databases of Labeled Rooted Trees
IEEE Transactions on Knowledge and Data Engineering
XSnippet: mining For sample code
Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
Mining exception-handling rules as sequence association rules
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
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Framework-based applications controlled by XML configuration files are quite popularly used in current commercial applications. However, most of these frameworks are complex or not well documented, which poses a great challenge for programmers to correctly utilize them. To overcome these difficulties, we propose a new tool to recommend XML configuration snippets automatically through mining tree patterns and pattern associations from the application repository with the aim of assisting the programmer to generate proper XML configurations during the production phase. In this demo, we showcase this tool by presenting the major techniques behind the tool and the typical usage scenarios of our tool.