数据挖掘：数据挖掘是分析大量数据以发现关系、设计和洞察力的方法。 Witten 和 Eibeme 同意这些设计必须“有意义，因为它们带来了一些优势，通常是财务优势。”数据挖掘中的数据通常是定量的，特别是当我们考虑到社交媒体在很长一段时间后提供的数据呈指数级发展时，即大数据。
Web 挖掘： Web 挖掘是利用数据挖掘策略和计算从网络文档和服务、内容、超链接和服务器日志中提取信息来专门从网络中提取信息的方法。网络挖掘的基本目标是通过收集和分析数据来搜索网络信息中的设计，以激发洞察力。它还包括从网络信息中寻找有价值的和晦涩的数据的方法。
下表列出了数据挖掘和 Web 挖掘之间的差异：
| Data Mining | Web Mining |
|---|---|
| The method of “Data Mining” works with the design which is identified from the data that’s already accessible within the framework, | the method of “Web Mining” works with the design which is recognized with the assistance of different “Web Data” individually. |
| “Data Mining” is for the most part utilized in different sorts of businesses which works on the rule of “Artificial Intelligence”, where different trade decisions are upgraded with the assistance of different choice-making activities with the assistance of innovation, | “Web Mining” is utilized within the field of “Data Analytics”, where the accessible crude information is changed over / and or adjusted into a significant arrange individually. |
| “Data Mining” includes the processes like Data Extraction, Design Disclosure, Algorithm Fathoming, etc. | “Web Mining” too includes the processes like Information Extraction, Design Revelation, Algorithm Understanding, etc. but these all processes happen with the assistance of “Web” which too on different “Web Servers” and “Web Documents” separately. |
| “Data Mining” is, for the most part, carried out by the experts like different “Data Engineers’, ‘Data Scientists’, etc. | “Web Mining” is carried out by the experts like various “Data Analysts” at the side different “Data Scientists”, and “Data Engineers” individual |
| The different tools which are utilized within the handle of “Data Mining” are “Machine Learning Algorithms” etc. | the different tools which are utilized within the prepare of “Web Mining” are “Apache Logs”, “Scrapy”, “PageRank” etc., with the assistance of these processes are carried out individually. |
| Numerous organizations are depending on data mining comes about for choice making handle | Web mining is noteworthy to drag the existing data mining process. |
| Skills required for data mining are Data cleansing techniques, machine learning algorithms, statistics, probability | Skills required for Web mining are Application level knowledge, Data engineering, statistics, probability |
| Data Mining Applications are Financial Data Analysis, Retail Industry, TelecommunicationIndustry, Biological, Data Analysis | Web mining is the application of information mining methods to extricate information from web information, counting web reports, hyperlinks between archives |