Research on One-to-One Marketing through Ubiquitous Network
| Project/Area Number |
15500030
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Computer system/Network
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| Research Institution | University of TSUKUBA |
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Principal Investigator |
YOSHIDA Kenichi University of Tsukuba, Graduate School of Business Science, Professor, 大学院・ビジネス科学研究科, 教授 (40344858)
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| Project Period (FY) |
2003 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2005: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2004: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2003: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | Data Mining / SPAM / Internet / LRU / スパム対策 / メモリ管理 / WWW / Graph Based Induction / Direct Mapped Cache / マスメイル / マーケッティング / ユビキタスネットワーク / 次世代ネットワーク |
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| Research Abstract |
Data mining from Internet increases its importance as the Internet increases its importance as a social infrastructure. In this study, we investigate following data mining techniques to realize new marketing tools for the networked society :
●A method for creating the viewers' side annotations that reflect viewers' attentions on TV drama are proposed. Internet bulletin boards are filled with large amount of viewers' dialogs concerning TV programs. Our approach is to extract the viewers' attentions embedded in these dialogs and express them in the form of the graphical structure called "attention graph". The testing results demonstrate that attention graphs sufficiently act as viewers' side annotations, in terms of pointing out which scene the viewers pay attentions to and clarifying how deeply viewers' are impressed by the scene. Although further researches are required, this result is an important technique to realize internet marketing.
●A method for finding spam mails is proposed. The
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volume of mass unsolicited electronic mail, often known as spam, has recently increased enormously and has become a serious threat not only to the Internet but also to society. We propose a new spam detection method which uses document space density information. Although the proposed method requires extensive e-mail traffic to acquire the necessary information, it can achieve perfect detection (i.e., both recall and precision is 100%) under practical conditions. A direct-mapped cache method contributes to the handling of over 13,000 e-mail messages per second. Experimental results, which were conducted using over 50 million actual e-mail messages, are also reported in this research.
●Network security is an important issue in maintaining the Internet as an important social infrastructure. Especially, finding excessive consumption of network bandwidth caused by P2P mass flow is important. Finding Internet viruses are also an important security issue. Although stream mining techniques seem to be promising techniques to find P2P and Internet viruses, vast network flow prevents the simple application of such techniques. A mining technique which works well with extremely limited memory is required. Also it should have a real-time analysis capability. In this paper, we propose a cache based mining method to realize such a technique. By analyzing the characteristics of the proposed method with real Internet backbone flow data, we show the advantages of the proposed method, i.e. less memory consumption while realizing real-time analysis capability. We also show the fact that we can use the proposed method to find mass flow information from Internet backbone flow data. Less
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Report
(4 results)
Research Products
(54 results)
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[Journal Article] Density-Based Spam detector2004
Author(s)
Kenichi YOSHIDA, Fuminori ADACHI, Takashi WASHIO, Hiroshi MOTODA, Teruaki HOMMA, Akihiro NAKASHIMA, Hiromitsu FUJIKAWA, Katsuyuki YAMAZAKI
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Journal Title
電子情報通信学会 英文誌D「インターネットの新技術とその応用」 特集号 E87-D・12
NAID
Description
「研究成果報告書概要(和文)」より
Related Report
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[Journal Article] Density-Based Spam Detector2004
Author(s)
Kenichi YOSHIDA, Fuminori ADACHI, Takashi WASHIO, Hiroshi MOTODA, Teruaki HOMMA, Akihiro NAKASHIMA, Hiromitsu FUJIKAWA, Katsuyuki YAMAZAKI
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Journal Title
Journal of IEICE Vol.E87-D, No.12
NAID
Description
「研究成果報告書概要(欧文)」より
Related Report
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