Evaluating XPath Expressions on Light Weight BitCube

XML has become a popular way of storing data and hence has also become a new standard for exchanging and representing data on internet. Many techniques have been proposed for indexing and retrieval of XML documents such as XTree, BitCube. In this paper a indexing structure known as Light Weight BitCube is proposed. LWBC is an extension to the earlier BitCube technique which overcomes the memory management problem of BitCube while maintaining the same query processing efficiency as that of BitCube. Many XPath expressions and BitCube operations are evaluated on this LWBC to show the query processing efficiency. The results are also compared with XQEngine, a well known XML Query Processing Engine. The results also show that, Light Weight BitCube manages memory much more efficiently than the BitCube, without compromising on the query processing time

Review of Soft Computing Methods used in Data Analysis

Abstract Due to the huge amount of data that has been processed in various business applications the role of data analysis has become important. Many statistical methods have been proposed that are analyzing data for such applications. But as soon as the size of the data increases the time required and efficiency of these methods reduces. In this paper I have reviewed three soft computing techniques namely ANN, Fuzzy Logic and Genetic Algorithm which have been used in various applications and proved to be better than the traditional statistical based techniques