首页> 外文期刊>International Journal of Engineering and Technology >DISCOVERY of LONGEST INCREASING SUBSEQUENCES and its VARIANTS using DNA OPERATIONS
【24h】

DISCOVERY of LONGEST INCREASING SUBSEQUENCES and its VARIANTS using DNA OPERATIONS

机译:使用DNA操作发现最长的增加子序列及其变体

获取原文
           

摘要

The Longest Increasing Subsequence (LIS) and Common Longest Increasing Subsequence (CLIS) have their importance in many data mining applications. We propose algorithms to discover LIS and CLIS from varied databases. This work finds all increasing subsequences from the given database, find increasing subsequences in n sliding window, longest increasing sequences in one and more sequences, decreasing subsequences and common increasing sequences of varied window sizes. The proposed work can be applied to finding diverging patterns, constraint LIS, sequence alignment, find motifs in genetic data bases, pattern recognition, mine emerging patterns, and contrast patterns in both, scientific and commercial databases. The algorithms are implemented and tested for accuracy in both real and simulated databases. Finally, the validity of the algorithms are checked and their time complexity are analyzed.
机译:最长递增子序列(LIS)和通用最长递增子序列(CLIS)在许多数据挖掘应用程序中具有重要意义。我们提出了从各种数据库中发现LIS和CLIS的算法。这项工作从给定的数据库中找到所有增加的子序列,在n个滑动窗口中找到增加的子序列,在一个和多个序列中找到最长的增加序列,减少子序列以及各种窗口大小的常见增加的序列。拟议的工作可用于在科学和商业数据库中查找发散模式,约束LIS,序列比对,在遗传数据库中找到基序,模式识别,矿山新兴模式以及对比模式。在真实数据库和模拟数据库中都对算法进行了实现和测试,以确保准确性。最后,检查算法的有效性并分析其时间复杂度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号