CEAS 2004 - PDF Preprint Papers

CEAS 2004 Conference on Email and Anti-Spam

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed CEAS-2004 Paper

click to vote

CEAS
2004
Springer

189views Internet Technology» more CEAS 2004»

Extracting social networks and contact information from email and the Web

14 years 5 months ago

Download www.cs.umass.edu

We present an end-to-end system that extracts a user’s social network and its members’ contact information given the user’s email inbox. The system identiﬁes unique people...

Aron Culotta, Ron Bekkerman, Andrew McCallum

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

Id	Views	Title	Status

1	189	Extracting social networks and contact information from email and the Web	claim
2	161	SpamBayes: Effective open-source, Bayesian based, email classification system	claim
3	132	Reputation Network Analysis for Email Filtering	claim
4	125	Introducing the Enron Corpus	claim
5	115	Word Stemming to Enhance Spam Filtering	claim
6	114	Learning to Extract Signature and Reply Lines from Email	claim
7	109	SpamGuru: An Enterprise Anti-Spam Filtering System	claim
8	102	Anatomy of a Phishing Email	claim
9	102	IP Addresses in Email Clients	claim
10	102	Filtron: A Learning-Based Anti-Spam Filter	claim
11	101	Resisting SPAM Delivery by TCP Damping	claim
12	96	Stopping Spam by Extrusion Detection	claim
13	93	Integration of Email and Task Lists	claim
14	91	Multiple Email Addresses: A Socio-technical Investigation	claim
15	91	No-Email-Collection Flag	claim
16	90	A Multifaceted Approach to Spam Reduction	claim
17	89	European Union vs. Spam: A Legal Response	claim
18	88	Exploring Support Vector Machines and Random Forests for Spam Detection	claim
19	86	On Attacking Statistical Spam Filters	claim
20	84	Trends in Spam Products and Methods	claim
21	82	Inferring Ongoing Activities of Workstation Users by Clustering Email	claim
22	80	The Impact of Feature Selection on Signature-Driven Spam Detection	claim
23	75	Personalised, Collaborative Spam Filtering	claim
24	71	Shall We Stop All Unsolicited Email Messages?	claim
25	65	Managing Customer Opt-Outs in a Complex Global Environment	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers