| Summary: | The exponential growth of the Web has turned it into a huge repository of information. Learning and extracting relevant information satisfying the consumers (User) needs is the ongoing research areas in Information retrieval. It is identified from the information retrieval study that stipulated focuses have been initiated for storing users data. Peoples mainly fail to look at ground level details, i.e., Retrieval of relevant data mainly depends on how efficiency a Data Management Scheme is applied. Data management plays an important role in effective and responsive handling of data. This paper shows the method for incorporating preferences in traditional Data Management schemes and how
queries can be remodelled for confident data extraction; in this paper a prototype “Preference Data Management System” has been developed and implemented with proposed query optimization Algorithm Group Bottom Up. The experimental results show that the newly execution plan generated using both the greedy algorithm and by dynamic programming performs quite well
compared to the optimal plan.
|
|---|