10th week

Tenth week summary(“privacy and public”)
We have looked around surveillance. It is related to privacy. Lessig talked about inefficiency. In fact, real meaning of inefficiency is that technologies do work to another which is not purpose. Nowadays, we can hear about a slowfood. Then we can listen “less is better”. However technology and intelligence are developing to be more efficient. There are RO and RW. RO is read-only like just public market. The other hands, RW is read-writing. RW is operating by volunteer like a Youtube. In fact, life where less is monitored is a life more private. Then life where less can (legally perhaps) be searched is also a life more private. Cookies are also related to privacy. Cookies are information that a web server stores on the machine running a web browser. Originally, it was invented to be convenient, but we should to think about privacy. Then, we can use the encryption. Encryption is the process of transforming information (referred to as plaintext) using an algorithm (called cipher) to make it unreadable to anyone except those possessing special knowledge, usually referred to as a key. We can look around the data mining. Goal of data mining is selection later collecting the data. For instance, Amazon has the records of our choice and taste. They also predict our next choice based on them. Following is data mining tasks.
• regression
• classification
• clustering
• inference of associative rules
• inference of sequential patterns
We can find a example of regression. We can see the chocolate and gum, besides counter of mart. It is lower than normal shelve. It target the children. Then car company advertise their car to customer earning proper income. It is classification.
My opinion
We can watch the news about violation of privacy, easily. Thus I think that this topic(private and public) is very important topic. Then intelligence or technology is developing to be more efficient. However, I think afford, rest is also important. More efficient is better in all fields? I don’t think so. Then data mining of marketing is so interesting. I want to know more example.