基于登录词邻接关系的双条件概率的领域术语抽取算法

领域词典作为中文信息处理的基础,在各个领域都有着重要的应用.而人工构建领域词典不仅工作量大,而且缺乏时效性.因此,自动构建领域词典成为目前研究的重点,而构建领域词典的关键是从领域语料中自动抽取领域术语.本文以金融领域作为切入点,提出了根据登录词前后邻接关系计算邻接词之间的双条件概率自动识别领域术语.实验证明,本文提出的算法不仅能够有效地提取新术语,同时在小语料和低词频情况下也能取得较好的效果.     

综合证素分析和"方名-药名"相似度的方剂主药发现算法

组方规律的研究对于挖掘中医诊治的基本原理,实现中医现代化具有重要意义.本文针对现有算法在发现方剂主药方面存在的不足,提出了将证素与"方名-药名"相似性分析相结合的主药发现算法3PEA(Joint Primary medicine Extraction Algorithm),该算法通过对名医医案临床数据中证素与药物之间的...     

Study on extracting method of single slope surface shape based on DEM：taking Wanzhou district of three gorges reservoir area as example

This paper focused on the extracting method of single slope shape. Applying the software of ARCGIS 9. 0, DEM （digital elevation model） was established. From the DEM, topographic characters, including valleys and ridges were extracted. Some valley lines were extended in order to intersect with the ridges nearby. All slope were divided into different slope surface, which enclosed by valleys and ridges. And the slope surface shapes were defined three types, Line Slope, Upper-concave and lower-convex slope, Upper-convex and lower-concave slope, according to their functions. And the judge formula of single slope surface shape was brought forward. Taking Wanzhou District as test area, it indicates that auto-extracting method of single slope surface shape has high precision relatively. This study can provide references to the studies of region geological disasters prevention and cure.     

A new incremental updating algorithm for association rules

Incremental data mining is an attractive goal for many kinds of mining in large databases or data warehouses. A new incremental updating algorithm rule growing algorithm (RGA) is presented for efficient maintenance discovered association rules when new transaction data is added to a transaction database. The algorithm RGA makes use of previous association rules as seed rules. By RGA, the seed rules whether are strong or not can be confirmed without scanning all the transaction DB in most cases. If the distributing of item of transaction DB is not uniform, the inflexion of robustness curve comes very quickly, and RGA gets great efficiency, saving lots of time for I/O. Experiments validate the algorithm and the test results showed that this algorithm is efficient. 