several techniques exist to select and materialize a proper set of data in a suitable structure that manage the queries submitted to the online analytical processing systems. these techniques are called view management techniques, which consist of three research areas: 1) view selection to materialize, 2) query processing and rewriting using the materialized views, and 3) maintaining materializ...

The negative selection algorithm is one of the oldest immuneinspired classification algorithms and was originally intended for anomaly detection tasks in computer security. After initial enthusiasm, performance problems with the algorithm lead many researchers to conclude that negative selection is not a competitive anomaly detection technique. However, in recent years, theoretical work has lea...

The immense capacity of web usage data which survives on web servers contains potentially precious information about the performance of website visitors. Pattern Mining involves applying data mining methods to large web data repositories to extract usage patterns. Due to the emerging reputation of the World Wide Web, many websites classically experience thousands of visitors every day. Examinat...

Efficiency and effectiveness is of importance for selection and localization. There should be regular methodology for targeting in the market by several methods. There is a necessity to have clear study for selection. In the current research, it has been studied the optimal localization at shopping centers. If there is not accuracy and validity, there will be achieved negative results for these...

− In this paper, we propose a Simulated Annealing PolyClonal Selection Algorithm (SAPCSA) for Traveling Salesman Problems (TSP). By introducing a simulated annealing (SA) strategy to the PolyClonal Selection Algorithm (PCSA), the SAPCSA integrate the characteristics of both SA and PCSA. Numerous instances have been simulated to verify the proposed algorithm.