Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
Introduction to AI Robotics
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Introduction to Autonomous Mobile Robots
Introduction to Autonomous Mobile Robots
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Within the mobile robotics research community, a great many approaches have been proposed for solving the navigation problem. The key difference between these various navigation architectures is the manner in which they decompose the problem into smaller subunits. In this paper, a data mining methodology developed for the retrieving significant frequent patterns is extended to allow robots to learn and navigate on unknown terrain in natural way. The method has two phases: context identification phase and validation phase. Conjunction of those phases provides an easy and straightforward way for exploring new workings space for robots.