the details of requirements

siberiaskeinData Management

Nov 20, 2013 (3 years and 6 months ago)

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Assignment 1

Requirements & Suggestions


Task Overview

This assignment is to help you build up a sense about how data mining
techniques can be applied in real
-
world applications. In this assignment, you
are going to survey applications of data mining in
one of the following
domains (other domains are not optional):



Data Mining in eCommerces
: related to how data mining is applied in
Amazon.com, Taobao.com, 360buy.com, etc.



Data Mining in Web Search
: related to how data mining is applied in
Google.com, Yaho
o.com, Bing.com, Baidu.com, etc.



Data Mining in Online Advertisements
: related to how data mining is
applied in Google Ads, Microsoft Ads, Baidu Ads, etc.



Data Mining in Social Networks
: related to how data mining is applied in
Facebook.com, Tweeter.com, W
eibo.com, Renren.com, etc.



Data Mining in Auto
-
Driving
: related to how data mining is applied in the
self
-
driving cars of Google, Mercedes
-
Benz, Honda, Hyundai/Kia, Nissan,
etc.

and write a survey using a given template restrictively.


What to read?

You ca
n find peer
-
reviewed papers, which are trustworthy with rich details,
in

IEEEXplore
,

ACM Portal
,

Elsevier
, and

DBLP

(DBLP only provides paper titles and
sources, you need to download the paper elsewhere)
. You can also search
papers by search
using

Google Scholar
. As data mining gains more and more attentions, it is
easy to find information of data mining applications in mass media such as
news papers, online forums, blogs,

etc, which however should be carefully
handled.

What/How to write?

You are required to select one topic listed above, and investigate the topic by
following the questions:



How did people do when the data mining techniques have not been
applied?



What were
the problems?



How the data mining techniques develop to solve the problem?



Are there any problems you think remaining and needed to be solved in
the future?


Please use



The
DOC template



Follow the template, do

NOT

modify black text, but only replace the

re
d
text

with your own words.



Save your finished DOC file to a

PDF

file for submission.


Must NOT plagiarize
:



Whenever you are using words, tables, figures and any work of others,
citations should be made clear.



A continuous verbatim copy of more than 50
English/Chinese words is
identified as a plagiarism, regardless of citations.


How to submit?

Email your survey as an attachment to
bit_cs@163.com

WITH the following requirements:



The subject of the email: project
_
1
_


_
学号



The name of the file: project
_
1
_
姓名
_
学号
.pdf


Due data:
Nov
.
1
1

2013


No other file formats are acceptable.

No submissions after the deadline are acceptable.


How is your survey evaluated?

Evaluation of your job will be based on the content and your
writing. A
smooth article reflecting your comprehension will receive a good score.


No scores will be given to a plagiarism.