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Data Mining for XML Query-Answering Support
Found in: IEEE Transactions on Knowledge and Data Engineering
By Mirjana Mazuran,Elisa Quintarelli,Letizia Tanca
Issue Date:August 2012
pp. 1393-1407
Extracting information from semistructured documents is a very hard task, and is going to become more and more critical as the amount of digital information available on the Internet grows. Indeed, documents are often so large that the data set returned as...
 
Mining frequent itemsets over tuple-evolving data streams
Found in: Proceedings of the 28th Annual ACM Symposium on Applied Computing (SAC '13)
By Carlo Zaniolo, Chongsheng Zhang, Florent Masseglia, Hamid Mousavi, Mirjana Mazuran, Yuan Hao
Issue Date:March 2013
pp. 267-274
In many data streaming applications today, tuples inside the streams may get revised over time. This type of data stream brings new issues and challenges to the data mining tasks. We present a theoretical analysis for mining frequent itemsets from sliding ...
     
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