Algorithms for cradling topic-oriented multi-document clusters from e-mails

Authors:
Shoichi Nakamura;Saori Chiba;Hiroaki Kaminaga;Setsuo Yokoyama;Youzou Miyadera
Affiliations:
Dept. Computer Science & Mathematics, Fukushima University, Fukushima, Japan;Dept. Computer Science & Mathematics, Fukushima University, Fukushima, Japan;Dept. Computer Science & Mathematics, Fukushima University, Fukushima, Japan;Tokyo Gakugei University, Koganei, Tokyo, Japan;Tokyo Gakugei University, Koganei, Tokyo, Japan
Venue:
E-ACTIVITIES'09/ISP'09 Proceedings of the 8th WSEAS International Conference on E-Activities and information security and privacy
Year:
2009

Citing 5
Cited 0

A focus+context technique based on hyperbolic geometry for visualizing large hierarchies

CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bifrost inbox organizer: giving users control over the inbox

Proceedings of the second Nordic conference on Human-computer interaction
An automatic email distribution by using text mining and reinforcement learning

Systems and Computers in Japan
Development of a Topic-Centered Adaptive Document Management System

ICCIT '09 Proceedings of the 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology
Algorithms for Extracting Topic across Different Types of Documents

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Skillful management of the various types of documents used in intelligent activities and their efficient utilization are undoubtedly important. However, most available methods and systems target only a single type of document (e-mails, Web pages, etc.) or are not adaptive enough. A more promising approach is topic-centered document management. In this research, topic-centered document management system/service has been proposed. This paper describes topic-oriented clustering algorithms across the different types of documents departing from the extraction the clues from e-mails. Preliminary evaluation of initial e-mail grouping is also reported.