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As present frequent neighboring class set mining algorithms inefficiently extract long frequent neighboring class set, and so this paper introduces an algorithm of fast mining long frequent neighboring class set. To fast search long frequent neighboring class set in large spatial data, this algorithm uses down search strategy to generate candidate frequent neighboring class set. But the course of...
This paper focuses on character of present frequent neighboring class set mining algorithms which is suitable for mining short frequent neighboring class set, and introduces a top-down algorithm in frequent neighboring class set mining. This algorithm is suitable for mining long frequent neighboring class set in large spatial data according to top-down strategy, and it creates digital database of...
This paper addresses the existing problems that present frequent neighboring class set mining algorithms is inefficient to extract long frequent neighboring class set in spatial data mining, and introduces a double search mining algorithm in frequent neighboring class set, which is suitable for mining any frequent neighboring class set in large spatial data through down-top search strategy and top-down...
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