Hi everyone,
We are team 18 – Yayun Tian (Darren), Mayuresh Kulkarni, and Rikio Chiba. On this blog, we will write about crowd sourcing. We hope you enjoy our posts, and also we would like to hear your opinion!
Cheers,
Team 18
28 Friday Mar 2014
Posted 00_Say hello, 17_Crowd sourcing
inHi everyone,
We are team 18 – Yayun Tian (Darren), Mayuresh Kulkarni, and Rikio Chiba. On this blog, we will write about crowd sourcing. We hope you enjoy our posts, and also we would like to hear your opinion!
Cheers,
Team 18
28 Friday Mar 2014
Posted 00_Say hello
inTags
Hi,
We are team 23 – Bob Fang, Paarth Sanghavi and Mike Tyson. We are going to blog about Information Retrieval. We hope to provide good material on IR in a fun way!
Suggestions are always welcome!
Ready, set blog!
28 Friday Mar 2014
Posted 00_Say hello
inTags
Hi!
We are Team 16 – Karthik Kiran, Nagachandrika Rao and Satej Wagle. Our blog topic is Data Science in Finance. We look forward to sharing our findings on this topic and would appreciate your opinion on it.
Happy Blogging!
– Team 16
28 Friday Mar 2014
Posted 00_Say hello, 01_Spam filtering
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What is spam?
Spam is unsolicited bulk messages, which usually involves using electronic messaging system. Most recognized form is email spam, although it also refers to abuses in other form like instant messaging, web search, Internet forum, etc. The primary objective for spam is for advertising indiscriminately towards large group of audiences. [1]
How does it work?
Spams are usually sent out by a “spammer”, which is a third-party that provides unsolicited email distribution services to companies that will advertise itself through emails.[2]Usually spammer find its target by the following ways:
What is spam filtering?
Spam filtering is the processing of messages according to specific criteria. By enabling spam filtering, each message is evaluated based on its headers and content. The message might got pass through unchanged for delivery to the user’s mailbox, redirected the message for delivery elsewhere, or even thrown away.[4]
How does spam filtering work?
What is the relationship with Data Science?
Several machine learning and information retrieval techniques have been used to build the spam filtering classifiers. Some of the underlying theories have already been mentioned in our Data Mining class:
Why should we care?
[1]http://en.wikipedia.org/wiki/Spamming
[2]http://www.nolo.com/legal-encyclopedia/how-does-spam-work-30013.html
[3]http://computer.howstuffworks.com/internet/basics/spam1.html
[4] http://help.websiteos.com/websiteos/introduction_to_spam_filter.htm
[5]http://www.bullguard.com/bullguard-security-center/internet-security/internet-threats/how-does-a-spamfilter-work.aspx
[6] http://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.26.3.87
28 Friday Mar 2014
Posted 00_Say hello
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Hi!
We are team 8–Linda Dreyer, Sam Li, and Rishav Chakravarti. Our blog topic is Data Science in Education Systems and we look forward to sharing our ongoing discoveries.
– Team 8
28 Friday Mar 2014
Posted 00_Say hello
inHi Everyone,
We are team 15: Prem, Mitun and Padmini. We will be writing about Recommendation Systems and sharing some insightful knowledge over the course of 5 weeks.
Looking forward to learning from you as well.
– Team 15.
28 Friday Mar 2014
Posted 00_Say hello
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It’s exciting to be starting this mini with a brand new course. We are team 6 — Kinnari Shah, Trevor Filipiak, and Doug Mennen – and we will be writing throughout these blog posts about Deep Learning. Stay on the lookout for our first post, an introduction to the topic.
28 Friday Mar 2014
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Hi everyone,
we are team 17: Adetunji, Ethel & Manuel. We will be writing about multi-source data analysis through this mini. – Already looking forward to share our findings with you!
Greetings,
Team 17
28 Friday Mar 2014
Posted 00_Say hello, 18_Data stream analytics
inHello People
This is Team 10 – Abhinav Batra, Jacob Quinn and Richa Choudhary. We will be blogging about Data Stream Analytics through this mini.
Excited to share our findings and to learn about various other fields of Data Science. 🙂
Regards,
Team 10
28 Friday Mar 2014
Posted 00_Say hello
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Hello World!
We are Team 9: Jiajie, Renee, and Weiwei. Our blog topic is “Spam Filtering”. We look forward to sharing with you our research and insights about this field!
Coming back soon!
Team 9