Proceedings Article10.1145/1352664.1352670
Adaptive e-mail intention finding mechanism based on e-mail words social networks
Che-Fu Yeh,Ching-Hao Mao,Hahn-Ming Lee,Tsuhan Chen +3 more
- 27 Aug 2007
- pp 113-120
TL;DR: The experimental results indicate that the proposed E-mail Words Social Network system is very helpful for classifying spam e-mails by analyzing senders' intentions and some ideas for analyzing interested nature of people, and profiling their backgrounds are presented.
read more
Abstract: Through the rapid evaluation of spam, no fully successful solution for filtering spam has been found. However, the spammers still spread spam by using the same intentions such as advertising and phishing. In this investigation, we propose a mechanism of E-mail Words Social Network (EWSN) for profiling users' intentions related to interesting and uninteresting e-mails. An EWSN is constructed from the information in an individual user's mailbox, and expands e-mail information from the World Wide Web (WWW) via the search engine. Based on the web information and association rules among the words, words and relations are expanded as a words' social network. Via the EWSN, both interested and uninterested EWSNs can be constructed to analyze user intentions. Additionally, an efficiency detection mechanism based on the EWSN is proposed to classify e-mails. Finally, the adaptation algorithm of artificial immune system is applied to EWSN, which is thus adapted to follow the user's confirmed classification results. The experimental results indicate that the proposed system is very helpful for classifying spam e-mails by analyzing senders' intentions. Some ideas for analyzing interested nature of people, and profiling their backgrounds, are also presented.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Group affinity based social trust model for an intelligent movie recommender system
Mucheol Kim,Sang Oh Park +1 more
TL;DR: An intelligent movie recommender system with a social trust model based on a social network for analyzing social relationships between users and generated group affinity values with user profiles is proposed.
45
Identity management-based social trust model for mediating information sharing and privacy enhancement
TL;DR: An identity management-based social trust model for solving a sparsity problem and an information leakage and the creation and use of identity groups with a clustering approach and partial identities in the proposed approach effectively address security and privacy risks in social networks.
25
Patent
Generative text using a personality model
Defelice Michael
- 01 Feb 2018
TL;DR: In this article, a personality model is created for a population and used as an input to a text generation system, where alternative texts are created based upon the emotional effect of the generated text.
8
Reliable Social Trust Management with Mitigating Sparsity Problem.
Mucheol Kim,Jiwan Seo,Sanhyun Noh,Sangyong Han +3 more
- 01 Jan 2010
TL;DR: Sparsity problems are solved by creating contents based virtual relations applied with the clustering approach, and a reliable social trust model is presented through combinations of actual relations and virtual relations.
e-mail authentication system: a spam filtering for smart senders
Pattaraporn Klangpraphant,Pattarasinee Bhattarakosol +1 more
- 24 Nov 2009
TL;DR: A novel method, called EMAS, to certify delivered mails is proposed, which does not only solve the spam problem, but also untie the indirect effects from spams that no other methods have been missed.
6
References
Latent dirichlet allocation
TL;DR: This work proposes a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams, and Hofmann's aspect model.
•Proceedings Article
Latent Dirichlet Allocation
David M. Blei,Andrew Y. Ng,Michael I. Jordan +2 more
- 03 Jan 2001
TL;DR: This paper proposed a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams, and Hof-mann's aspect model, also known as probabilistic latent semantic indexing (pLSI).
•Book
Data Mining: Practical Machine Learning Tools and Techniques
Ian H. Witten,Eibe Frank,Mark Hall +2 more
- 25 Oct 1999
TL;DR: This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.
25.4K
•Book
Social Network Analysis: Methods and Applications
Stanley Wasserman,Katherine Faust +1 more
- 25 Nov 1994
TL;DR: This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of Dyadic and Triadic Interaction Models, which describes the relationships between actor and group measures and the structure of networks.
18.9K
Data mining
TL;DR: The graduate certificate’s narrow focus allows you to dig deep into this specific topic, and start applying your knowledge sooner.
6.8K