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- wizards for data mining 数据挖掘向导
- The Percentage Sampling transformation is especially useful for data mining. 百分比抽样转换对数据挖掘尤其有用。
- These algorithms are a subset of all the algorithms that can be used for data mining. 这些算法是所有可用于数据挖掘的算法的子集。
- OLE DB for Data Mining(OLE DB for DM) is a natural evolution from OLE DB and OLE DB for OLAP. OLE DB for Data Mining(OLE DB for DM)是OLE DB和OLE DB for OLAP自然进化的结果。
- Xtreme Datamining (XD) will be a tool for data mining any database efficiently. Got a database, mine it! 这是个可对各种数据库进行有效数据挖掘的工具。
- The other popular technologies for data mining include decision trees, rule induction, data visualization and nearest-neighbor analysis. 用于数据开采的其它流行技术包括决策树、规则归纳、数据可视化和最近邻域分析等。
- But after I finish this project for data mining and its application are more in-depth understanding. 而完成这个项目之后，我对于数据挖掘及其应用有了更深入的认识。
- The other popular technologies for data mining include decision trees,rule induction,data visualization and nearest-neighbor analysis. 用于数据开采的其它流行技术包括决策树、规则归纳、数据可视化和最近邻域分析等。
- In the paper, firstly, we analysis the general methods, techniques and applications for data mining based on data warehouse. 本文首先分析了基于数据仓库的数据采掘的主要方法、技术和应用；
- The code wizard for the selected object appears. 出现选定对象的代码向导。
- Decision trees is a useful tool for data mining, but the design of the optimal decision tree has been proved to be NP hard. 决策树是一种重要的数据开采方法 ;但构造最优决策树是一个 NP困难问题 .
- See Designing a Wizard for a list of these models. 有关这些模型的列表,请参见设计向导。
- The Bayesian approach is suitable for data mining and knowledge discovery problems characterized by probability and statistics. 因此 ,适用于具有概率统计特征的数据采掘和知识发现问题 ,尤其是样本难得或代价昂贵的问题。
- The Text Import Wizard for a text file. 对于文本文件,显示“文本导入向导”。
- Based on the basic knowledge of dada mining, this paper presents a common model for data mining and describes its module function. 本文在介绍数据开采基本知识的基础上提出了一个通用的开采机模型 ;并对其各模块的功能做出描述 .
- By comparison with the traditional method for data mining,this method is more effective,more accurate,and more accordant to practice. 与传统的数据挖掘方法相比较,区间值聚类的数据挖掘模型更加高效、准确、符合实际。
- Finally, based on the W-k-prototypes algorithm, a clusting analysis system fiting the CRISP (Cross Industry Standard Process for Data Mining) model is implemented . 最后,基于W-k-prototypes算法实现了一个符合业界标准CRISP(Cross Industry Standard Process for Data Mining)模型的聚类分析系统。
- Mining Model is expressed with forms by OLE DB for data mining , and a new SQL-like DDL leverages developers to build data mining applications using SQL Server 2000. OLE DB for Data Mining以表的形式表达数据挖掘模型对象,而且也提供一种类似SQL的DDL使开发者能更好地建立数据挖掘应用。 本文给出了一个关于运用SQL Server2000构建数据挖掘应用的实例。
- In this paper we give an archetypal design for data mining system, Incremental updating technique is applied in this archetypal system which quickly dealing with large databases. 摘要本文设计并实现了一个数据挖掘原型系统，并将增量更新技术应用于此原型中。
- Detecting and eliminating approximately duplicated records is one of the main problems needed to be solved for data mining and data quality improvement. 摘要针对检测和消除数据仓库中的相似重复记录问题，提出了数据仓库中的相似重复记录检测方法。
