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TITLE : Annotation in Web Database Search Result Records with Machine Learning Technique in Frequent Pattern Clustering(FPC)  
AUTHORS : V.Sabitha      Dr.S.K.Srivatsa            
ABSTRACT :

An astonishing system used for storing information which can be accessed through a website is referred to as a ‘web database’. A flexible range of activities are carried out through web database.  Therefore, it is important to design a proper database which involves choosing the correct data type for each field in order to reduce memory use and to increase the speed of access. Since, tiny databases do not cause any important problems, enormous web databases can grow to millions of entries and hence need to be well designed to work effectively. Thus the motive of our research is to reduce the memory and increase the s)peed of access in a web database. In this paper, we have introduced a machine learning technique based annotation to increase the speed of search result records in web database and give meaningful labels. The proposed technique is capable to efficiently reduce the recollection and add to the speed of access in a website.  

Keywords: Alignment, Frequent Pattern Algorithms, Score Calculation

 
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