Novel algorithm for enhancing database access in interactive applications: performance evaluation
Online applications rely heavily on database managementsystems (DBMS), as an essential component of knowledgediscovery. DBMS searching and querying has been extensivelystudied resulting in significant reduction of responsetime for access and consequently improving the online dialogueprocess between servers and clients. In this paper,a decision-making algorithm (SEQUESTER) has beendeveloped in order to further improve the performance ofinteraction-based online applications. The proposed approachuses information theoretic measures in order tobuild efficient decision trees which form the basis to optimizeinteractions in a range of real life online applications.The decision-making model employs a question-and-answer(Q&A) approach to guide users in an interactive process toexplore for information such as products in a database. Thesalient feature of this approach is the significant reductionof the number of interactions (accesses) of a customer to aremote application.