Handling high web access utility mining using intelligent hybrid hill climbing algorithm based tree construction

Abstract

With an eye on locating the sequences from web data the most talented solution web usage mining is elegantly employed. In this regard, the modern technique is plagued by several constraints like the forward reference of web access sequence, making it irrelevant for the incremental databases. With the intention of overwhelming these hassles, an innovative technique is elegantly launched for mining web access utility by employing the hybrid hill climbing genetic algorithm (HHCGA) based tree construction. The novel approach deploys the two tree constructions such as the HUWAS tree (HHCGA and utility based web access sequence tree) and the HIUWAS tree (HHCGA and incremental utility based web access sequence tree). The tree construction, in essence, is generally dependent on the internal and external utility values of the web access sequence. The HHCGA is effectively utilized to optimize both the HUWAS and HIUWAS trees. In this regard, hill climbing attracts attention as an optimization approach offering solutions for the search challenges and Genetic Algorithm makes its presence felt as an ideal one for issues encompassing an extensive and intricate search space with added local optimums. The epoch-making technique comes out with flying colors by effectively addressing both the forward and backward references of web access.