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Association Matrix Method and Its Applications in Mining DNA Sequences

机译：结合矩阵法及其在采矿DNA序列中的应用

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Many mining algorithms have been presented for business big data such as marketing baskets, but they cannot be effective or efficient for mining DNA sequences, any of which is typically with a small alphabet but a much long sizes. This paper will design a compact data structure called Association Matrix, and give an algorithm to specially mine long DNA sequences. The Association Matrix is novel in-memory data structure, which can be so compact that it can deal with super long DNA sequences in a limited memory spaces. Such, based on the Association Matrix structure, we can design the algorithms for efficiently mining key segments from DNA sequences. Additionally, we will show our related experiments and results in this paper.
机译：已经为营销篮板等商业大数据提供了许多挖掘算法，但它们不能有效或有效地用于采矿DNA序列，其中任何一个通常具有小字母，但长尺寸很长。本文将设计一个紧凑的数据结构，称为关联矩阵，并给予专门挖掘Long DNA序列的算法。关联矩阵是新的内存数据结构，可以如此紧凑，即它可以在有限的存储空间中处理超长DNA序列。这种基于关联矩阵结构，我们可以设计用于从DNA序列有效地挖掘关键段的算法。此外，我们将展示我们的相关实验和结果。

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