Parallel Pre-processing for XML mining using Graphic Processor

With the advent of ever increasing data availability on internet, mining and converting the information into knowledge is becoming extremely important and challenging task for researchers in data mining community. Mining of association rules is considered as an important research direction of data mining. XML is being extensively and pre-dominantly used as a markup language on web and thus makes it an interesting source for data extraction from large data sets. There is a growing demand for modern tools and technologies which can efficiently handle such large data. This paper proposes a collaborative approach to extract association rules from structured XML data with the help of cost effective, easily affordable and energy efficient Graphic Processors. Parallelism is applied at two levels in our proposed framework. First the deserialization of XML data is done using a parallel approach. Secondly the in-built multithreaded structure of GPU sorts the converted XML data in the pre-processing stage to make the dataset favorable for mining. Using a parallel framework in form of inbuilt hardware based GPU; we try to handle the scalability issue upto a large extent.