Data Mining Lab, KAIST

The official site of Data Mining Lab led by Prof. Jae-Gil Lee in Graduate School of Knowledge Service Engineering, KAIST

OVERVIEW

This website dm.kaist.ac.kr presently has a traffic ranking of zero (the lower the superior). We have evaluated one page within the web page dm.kaist.ac.kr and found eight websites interfacing with dm.kaist.ac.kr.
Pages Analyzed
1
Links to this site
8

DM.KAIST.AC.KR RANKINGS

This website dm.kaist.ac.kr is seeing varying levels of traffic for the duration of the year.
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LINKS TO BUSINESS

Home Sundong Kim

Renewed page of my old google sites. The personal website of Sundong Kim. 생각해 보니 1시에 자고 9시에 일어나는 삶은 너무 야행성이 아닌가 생각해본다. 해가 중천에 떠 있을 때 첫 끼를 먹는 삶. 나도 저녁 8시에 잠을 자던 시절이 있었을 것이다. 해가 떠 있을 때를 최대한 활용해야 건강한 삶을 영위할 수 있지 않을까? 해가 중천에 떠있을 때를, 깨어있는 시간의 중간이 되게 맞춰 보면 어떨까? Out of campus for next four weeks.

Department of Knowledge Service Engineering, KAIST

Department of Knowledge Service Engineering, KAIST. Prohibition of unauthorized collection of e-mail addresses.

WHAT DOES DM.KAIST.AC.KR LOOK LIKE?

Desktop Screenshot of dm.kaist.ac.kr Mobile Screenshot of dm.kaist.ac.kr Tablet Screenshot of dm.kaist.ac.kr

DM.KAIST.AC.KR HOST

I found that a lone page on dm.kaist.ac.kr took five hundred and thirteen milliseconds to come up. Our parsers could not discover a SSL certificate, so in conclusion our parsers consider dm.kaist.ac.kr not secure.
Load time
0.513 seconds
SSL
NOT SECURE
Internet Address
143.248.91.144

BOOKMARK ICON

SERVER OPERATING SYSTEM

I identified that dm.kaist.ac.kr is operating the Apache/2.2.22 (Ubuntu) server.

TITLE

Data Mining Lab, KAIST

DESCRIPTION

The official site of Data Mining Lab led by Prof. Jae-Gil Lee in Graduate School of Knowledge Service Engineering, KAIST

CONTENT

This website states the following, "Graduate School of Knowledge Service Engineering." Our analyzers analyzed that the web site said " This presentation explains our recent research on expertise finding for question answering QA services." The Website also stated " The first part discusses a methodology of estimating the expertise of recently-joined users in QA services. The second part discusses the design and implementation of a social search engine specialized for location-based questions. These studies were published at AAAI ICWSM-13 best paper award and AAAI ICWSM-1."

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