数据库知识发现”（KDD）研究

（）是KDD基础性工作。

A:数据挖掘 B:数据整理 C:数据准备 D:数据传递

CRISP-DM模型为一个KDD工程提供了一个完整的过程描述.该模型将一个KDD工程分为几个不同的、但顺序并非完全不变的阶段，包括businessunderstanding、dataunderstanding、datapreperation、（）

A:deployment B:design C:modeling D:evaluation

KDD通过（）步骤运行。

A:数据准备 B:数据掺掘 C:数据分析与处理 D:模式解释与评估

Across a wide variety of fields, data are being collected and accumulated at a dramatic pace. There is an urgent need for a new generation of computational theories and tools to assist humans in (96) useful information (knowledge) from the rapidly growing (97) of digital data. These theories and tools are the subject of the emerging field of knowledge discovery in database (KDD). At an abstract level, the KDD field is concerned with the development of methods and techniques for making (98) of data. The basic problem addressed by the KDD process is one of mapping low-level data(which are typically too voluminous to understand and digest easily) into other forms that might be more (99) (for example, a short report), more (100) (for example, a descriptive approximation or model of the process that generated the data), or more useful (for example, a predictive model for estimating the value of future cases). At the core of the process is the application of specific data-mining methods for pattern discovery and extraction.

A:dense B:compact C:extensile D:short

知识发现(KDD)的过程可分为三部分，即数据准备、______以及结果的解释和评估。

下面继电器中是降弓继电器的是（ ）

A:KAPE B:KDD2 C:KIPAN D:KABDJ

200km/h动车组中KDD1是头继电器，KEC是尾继电器

KDD1是头继电器，KEC是尾继电器