| 1. | The data analysis techniques in software measurement
软件度量中的数据分析技术 |
| 2. | Data mining is a profound data analysis technology developed in recent years
数据挖掘就是近年发展起来的深层次的数据分析技术。 |
| 3. | Data mining is the data analysis technology that finds unknown knowledge in the large amount of data
数据挖掘技术是在大量的数据中发现未知知识的数据分析技术。 |
| 4. | Reliability data analysis techniques - procedures for comparison of two constant failure rates and two constant failure intensities
可靠性数据分析技术.两种恒定故障率和两种恒定故障 |
| 5. | The unit provides an introduction to modern statistical principles and practice with special emphasis on data analytical techniques
本课程是现代统计学原理和实践基础课程，特别强调数据分析技术。 |
| 6. | Using online analytical processing and data mining , provides a flatform with full aspect and deep hierarchy
在此数据集合中，以联机分析处理、数据挖掘等数据分析技术，为医药经销企业提供全方面、深层次的数据展现平台。 |
| 7. | For resolving this problem , knowledge discovery in data ( kdd ) and data - mining technology are presented to find the information resources
知识发现和数据挖掘技术就是为迎合这种需要而出现的一种用于开发信息资源的新型数据分析技术。 |
| 8. | Although there have been a lot of statistic technology about proceeding data , the advanced intelligent data analasy technology has n ' t been matured
虽然已经有很多对数据进行分析的简单统计技术，但高级的智能数据分析技术还远未成熟。 |
| 9. | Recently , application of an innovative and efficient data analysis techniques in system identification and damage detection of civil structures is receiving much attention
近来一种新型而有效的数据分析技术? hilbert - huangspectralanalysis ( hhsa )在结构的系统识和别损伤诊断的研究中受到了广泛的关注。 |
| 10. | The first algorithm uses an iterative self - organizing data analysis technique and fuzzy clustering analysis theory . it is fast , simple and easy for programming , but more suitable for small system . the second one is a recursive algorithm
首先采用模糊聚类分析中的迭代自组织数据分析技术（ iterativeself - organizingdataanalysistechniquea ） ，提出了改进isodata不良数据辨识法；其次，提出了递推不良数据辨识法。 |
