A Study on the Mining Access Patterns from Web Log Data
Summary :
Nowadays, the World Wide Web is continuing to expand at an amazing rate as a medium for conducting business in addition to disseminating information, and Web users are remarkably increasing. Human activities in virtual space as the Web are producing large volumes of data, and Web data mining to extract information from Web data has become an important research area. In this paper, we examine the features of Web log data and propose a method for transaction identification. We also introduce a new problem of user segmentation and present a method for solving this problem.
- Publication
- IEICE TRANSACTIONS on Information Vol.E85-D No.4 pp.782-785
- Publication Date
- 2002/04/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Databases
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Keyword
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Jeong Yong AHN, "A Study on the Mining Access Patterns from Web Log Data" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 4, pp. 782-785, April 2002, doi: .
Abstract: Nowadays, the World Wide Web is continuing to expand at an amazing rate as a medium for conducting business in addition to disseminating information, and Web users are remarkably increasing. Human activities in virtual space as the Web are producing large volumes of data, and Web data mining to extract information from Web data has become an important research area. In this paper, we examine the features of Web log data and propose a method for transaction identification. We also introduce a new problem of user segmentation and present a method for solving this problem.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_4_782/_p
Copy
@ARTICLE{e85-d_4_782,
author={Jeong Yong AHN, },
journal={IEICE TRANSACTIONS on Information},
title={A Study on the Mining Access Patterns from Web Log Data},
year={2002},
volume={E85-D},
number={4},
pages={782-785},
abstract={Nowadays, the World Wide Web is continuing to expand at an amazing rate as a medium for conducting business in addition to disseminating information, and Web users are remarkably increasing. Human activities in virtual space as the Web are producing large volumes of data, and Web data mining to extract information from Web data has become an important research area. In this paper, we examine the features of Web log data and propose a method for transaction identification. We also introduce a new problem of user segmentation and present a method for solving this problem.},
keywords={},
doi={},
ISSN={},
month={April},}
Copy
TY - JOUR
TI - A Study on the Mining Access Patterns from Web Log Data
T2 - IEICE TRANSACTIONS on Information
SP - 782
EP - 785
AU - Jeong Yong AHN
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2002
AB - Nowadays, the World Wide Web is continuing to expand at an amazing rate as a medium for conducting business in addition to disseminating information, and Web users are remarkably increasing. Human activities in virtual space as the Web are producing large volumes of data, and Web data mining to extract information from Web data has become an important research area. In this paper, we examine the features of Web log data and propose a method for transaction identification. We also introduce a new problem of user segmentation and present a method for solving this problem.
ER -
English
