Multi-level Data Mining - One way to sophisticated Web-based applications

Hildegard Rumetshofer; Rainer Dlapka

Multi-level Data Mining - One way to sophisticated Web-based applications

Hildegard Rumetshofer
, Rainer Dlapka

Institute for Application-oriented Knowledge Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

With the possibility of world wide access current Web applications have an almost unlimited amount of potential users. Methods of data mining can be used to classify the user groups and to learn from their behavior. With the collected information changes and optimizations can be applied to the Web application to hit the users requirements. One already established method for data mining is Web usage mining. Web usage mining is based on the logging information that is generated by the Web server when the user clicks through the site. A new approach that offers more flexibility as presented in this paper is multi-level data mining. It takes advantage of the several layers in a Web application. Guidelines that may be regarded as good practice in the field of data tracking will be introduced in this paper.

Original language	English
Title of host publication	The Sixth Int. Conf. on Information Integration and Web-based Applications and Services, iiWAS 2004
Number of pages	10
Publication status	Published - Sept 2004

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 16 Peace, Justice and Strong Institutions

Fields of science

102001 Artificial intelligence
102006 Computer supported cooperative work (CSCW)
102010 Database systems
102014 Information design
102015 Information systems
102016 IT security
102028 Knowledge engineering
102019 Machine learning
102022 Software development
102025 Distributed systems
502007 E-commerce
505002 Data protection
506002 E-government
509018 Knowledge management
202007 Computer integrated manufacturing (CIM)
102033 Data mining
102035 Data science

Cite this

@inproceedings{71a91cf0f8ea41b2ae549ca4868a9677,

title = "Multi-level Data Mining - One way to sophisticated Web-based applications",

abstract = "With the possibility of world wide access current Web applications have an almost unlimited amount of potential users. Methods of data mining can be used to classify the user groups and to learn from their behavior. With the collected information changes and optimizations can be applied to the Web application to hit the users requirements. One already established method for data mining is Web usage mining. Web usage mining is based on the logging information that is generated by the Web server when the user clicks through the site. A new approach that offers more flexibility as presented in this paper is multi-level data mining. It takes advantage of the several layers in a Web application. Guidelines that may be regarded as good practice in the field of data tracking will be introduced in this paper.",

author = "Hildegard Rumetshofer and Rainer Dlapka",

year = "2004",

month = sep,

language = "English",

booktitle = "The Sixth Int. Conf. on Information Integration and Web-based Applications and Services, iiWAS 2004",

}

TY - GEN

T1 - Multi-level Data Mining - One way to sophisticated Web-based applications

AU - Rumetshofer, Hildegard

AU - Dlapka, Rainer

PY - 2004/9

Y1 - 2004/9

N2 - With the possibility of world wide access current Web applications have an almost unlimited amount of potential users. Methods of data mining can be used to classify the user groups and to learn from their behavior. With the collected information changes and optimizations can be applied to the Web application to hit the users requirements. One already established method for data mining is Web usage mining. Web usage mining is based on the logging information that is generated by the Web server when the user clicks through the site. A new approach that offers more flexibility as presented in this paper is multi-level data mining. It takes advantage of the several layers in a Web application. Guidelines that may be regarded as good practice in the field of data tracking will be introduced in this paper.

AB - With the possibility of world wide access current Web applications have an almost unlimited amount of potential users. Methods of data mining can be used to classify the user groups and to learn from their behavior. With the collected information changes and optimizations can be applied to the Web application to hit the users requirements. One already established method for data mining is Web usage mining. Web usage mining is based on the logging information that is generated by the Web server when the user clicks through the site. A new approach that offers more flexibility as presented in this paper is multi-level data mining. It takes advantage of the several layers in a Web application. Guidelines that may be regarded as good practice in the field of data tracking will be introduced in this paper.

UR - http://www.faw.uni-linz.ac.at/PublicationFullText/2004iiWAS/hrrd_iiWAS2004.pdf

M3 - Conference proceedings

BT - The Sixth Int. Conf. on Information Integration and Web-based Applications and Services, iiWAS 2004

ER -

Multi-level Data Mining - One way to sophisticated Web-based applications

Abstract

UN SDGs

Fields of science

Other files and links

Cite this