It is an effective method of analyzing data and distilling information with the statistical analysis technology . using data warehouse technology , the rule was found behind the data by way of artificial intelligence , neural net and knowledge reasoning . the data warehouse transforms data to information , transforms information to knowledge , mades up the weaker shortcoming of the ability of traditional database application at the aspect of the analysis of data , and provides the supporting of various hierarchy for the policymaker 它以统计分析技术作为分析数据和提取信息的有效方法,通过人工智能、神经网络、知识推理等数据挖掘方法来发现数据背后隐藏的规律,从而实现“数据信息,信息知识”的转化,弥补了传统数据库在数据分析方面能力较弱的不足,为企业的管理提供各种层次的决策支持。
Firstly , the notion of the form as a = > b [ s % , c % ] is researched and some algorithms are discussed . an algorithm named a progressive refinement approach to spatial data mining is discussed in detail . and a new thought of mining spatial association rule based on spatial data cube is brought forward 阐述了a = > b [ s , c ]形式的空间关联规则的基本概念和算法,详细研究了一种逐步求精的空间关联规则挖掘算法的实现;提出一种基于空间数据立方体的空间关联规则挖掘的新思路;将空间统计分析引入空间关联规则挖掘领域,研究了空间权重矩阵、空间自相关、空间关联等的度量函数,并利用空间统计分析技术发现空间相关关系和空间关联规则。
The traditional statistics techniques , the final group option is frequently debatable and stuck in a harassing working environment owing to lack of a objective and transparent group consensus reaching process to deal with contradictory and conflicting judgments among marketing members 摘要常规的统计分析技术,由于缺乏一套客观与透明的群体决策共识达成机制,去处理成员间的冲突与看法上的不一致,以致行销部门最后决选出来的行销方案,往往在充满被质疑、无法团结一致与同心协力的环境下运行。
The traditional statistics techniques , the final group option is frequently debatable and stuck in a harassing working environment owing to lack of a objective and transparent group consensus reaching process to deal with contradictory and conflicting judgments among marketing members 摘要传统的统计分析技术,由于缺乏一套客观与透明的群体决策共识达成机制,去处理成员间的冲突与看法上的不一致,以致行销部门最后决选出来的行销方案,往往在充满被质疑、无法团结一致与同心协力的环境下执行。