Web mining is the process of discovering and analyzing useful information from the World Wide Web. It includes two main areas: Web content mining, which involves discovering information from millions of sources on the Web, and Web usage mining, which involves analyzing user access patterns on one or more Web servers. This paper provides an overview of the various research issues, techniques, and development efforts in both areas. It focuses mainly on Web usage mining, which is an emerging research area. The paper presents a taxonomy of Web mining and describes various research efforts in this area. It also presents a general architecture for Web usage mining and briefly describes the WEBMINER system, which is based on this architecture. The paper concludes by listing issues that need the attention of the research community. The paper discusses various aspects of Web mining, including data preprocessing, the mining process, and the analysis of mined knowledge. It also discusses future research directions in Web mining, including data preprocessing, the mining process, and the analysis of mined knowledge. The paper concludes by emphasizing the importance of developing a common vocabulary for Web mining and the need for further research in this area.Web mining is the process of discovering and analyzing useful information from the World Wide Web. It includes two main areas: Web content mining, which involves discovering information from millions of sources on the Web, and Web usage mining, which involves analyzing user access patterns on one or more Web servers. This paper provides an overview of the various research issues, techniques, and development efforts in both areas. It focuses mainly on Web usage mining, which is an emerging research area. The paper presents a taxonomy of Web mining and describes various research efforts in this area. It also presents a general architecture for Web usage mining and briefly describes the WEBMINER system, which is based on this architecture. The paper concludes by listing issues that need the attention of the research community. The paper discusses various aspects of Web mining, including data preprocessing, the mining process, and the analysis of mined knowledge. It also discusses future research directions in Web mining, including data preprocessing, the mining process, and the analysis of mined knowledge. The paper concludes by emphasizing the importance of developing a common vocabulary for Web mining and the need for further research in this area.