Data Mining 简明教程

Data Mining - Overview

信息产业中有大量可用数据。在转换成有用的信息之前，这些数据毫无用处。有必要分析这些海量数据并从中提取有用信息。

There is a huge amount of data available in the Information Industry. This data is of no use until it is converted into useful information. It is necessary to analyze this huge amount of data and extract useful information from it.

信息提取不是我们需要执行的唯一过程；数据挖掘还涉及其他过程，如数据清理、数据集成、数据转换、数据挖掘、模式评估和数据展示。一旦所有这些过程结束，我们就可以在许多应用程序中使用这些信息，例如欺诈检测、市场分析、生产控制、科学探索等。

Extraction of information is not the only process we need to perform; data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation, Data Mining, Pattern Evaluation and Data Presentation. Once all these processes are over, we would be able to use this information in many applications such as Fraud Detection, Market Analysis, Production Control, Science Exploration, etc.

What is Data Mining?

数据挖掘被定义为从大量数据中提取信息。换句话说，我们可以说数据挖掘是从小知识中挖掘知识的过程。提取的信息或知识可用于以下任何应用程序 -

Data Mining is defined as extracting information from huge sets of data. In other words, we can say that data mining is the procedure of mining knowledge from data. The information or knowledge extracted so can be used for any of the following applications −

  1. Market Analysis

  2. Fraud Detection

  3. Customer Retention

  4. Production Control

  5. Science Exploration

Data Mining Applications

数据挖掘在以下领域极有用处 -

Data mining is highly useful in the following domains −

  1. Market Analysis and Management

  2. Corporate Analysis & Risk Management

  3. Fraud Detection

除此之外，数据挖掘还可用于生产控制、客户保留、科学探索、体育、占星术和互联网 Web Surf-Aid 领域

Apart from these, data mining can also be used in the areas of production control, customer retention, science exploration, sports, astrology, and Internet Web Surf-Aid

Market Analysis and Management

以下是数据挖掘使用的各个市场领域 -

Listed below are the various fields of market where data mining is used −

  1. Customer Profiling − Data mining helps determine what kind of people buy what kind of products.

  2. Identifying Customer Requirements − Data mining helps in identifying the best products for different customers. It uses prediction to find the factors that may attract new customers.

  3. Cross Market Analysis − Data mining performs Association/correlations between product sales.

  4. Target Marketing − Data mining helps to find clusters of model customers who share the same characteristics such as interests, spending habits, income, etc.

  5. Determining Customer purchasing pattern − Data mining helps in determining customer purchasing pattern.

  6. Providing Summary Information − Data mining provides us various multidimensional summary reports.

Corporate Analysis and Risk Management

数据挖掘用于企业部门的以下领域 −

Data mining is used in the following fields of the Corporate Sector −

  1. Finance Planning and Asset Evaluation − It involves cash flow analysis and prediction, contingent claim analysis to evaluate assets.

  2. Resource Planning − It involves summarizing and comparing the resources and spending.

  3. Competition − It involves monitoring competitors and market directions.

Fraud Detection

数据挖掘还用于信用卡服务和电信领域以检测欺诈行为。在电话诈骗中，它有助于找到通话目的地、通话时长、一天或一周中的时间等。它还分析了与预期规范不同的模式。

Data mining is also used in the fields of credit card services and telecommunication to detect frauds. In fraud telephone calls, it helps to find the destination of the call, duration of the call, time of the day or week, etc. It also analyzes the patterns that deviate from expected norms.