::::: J I I S - Korea Intelligent Information System Society :::::

Welcome to JIISOnline.org

The Journal of Intelligence and Information Systems (ISSN: 2288-
4866(Print), ISSN: 2288-4882(Online)) is the official academic journal
of the Korea Intelligent Information Systems Society (KIISS).
It endeavors to share the most state-of-the-art research in the field of
intelligent IT and its applications to business domain.

The subjects covered by the journal include all topics related to
a) business applications of intelligent IT;
b) Intelligent IT;
c) Management of Intelligent IT.
All submitted manuscripts will be peer-reviewed, and the articles
will be published shortly after acceptance.

JIIS is indexed and abstracted in :

Current Issue : Vol. 24, No. 1 (Mar. 2018)

1. The way to make training data for deep learning model to recognize keywords in product catalog image at E-commerce

Kitae Kim, Wonseok Oh, Geunwon Lim, Eunwoo Cha, Minyoung Shin, and Jongwoo Kim

Vol. 24, No. 1, Page: 1 ~ 23 | 10.13088/jiis.2018.24.1.001

2. Smart Store in Smart City: The Development of Smart Trade Area Analysis System Based on Consumer Sentiments

In-Jin Yoo, Bong-Goon Seo, and Do-Hyung Park

Vol. 24, No. 1, Page: 25 ~ 52 | 10.13088/jiis.2018.24.1.025

3. Analyzing the Effect of Online media on Overseas Travels: A Case study of Asian 5 countries

Hea In Lee, Hyun Sil Moon, and Jae Kyeong Kim

Vol. 24, No. 1, Page: 53 ~ 74 | 10.13088/jiis.2018.24.1.053

4. An Analysis of the Comparative Importance of Systematic Attributes for Developing an Intelligent Online News Recommendation System: Focusing on the PWYW Payment Model

Hyoung-Joo Lee, Nuree Chung, and Sung-Byung Yang

Vol. 24, No. 1, Page: 75 ~ 100 | 10.13088/jiis.2018.24.1.075

5. Discovering Promising Convergence Technologies Using Network Analysis of Maturity and Dependency of Technology

Hochang Choi, Kee-Young Kwahk, and Namgyu Kim

Vol. 24, No. 1, Page: 101 ~ 124 | 10.13088/jiis.2018.24.1.101

6. Building an Analytical Platform of Big Data for Quality Inspection in the Dairy Industry: A Machine Learning Approach

Hyunseok Hwang, Sangil Lee, Sunghyun Kim, and Sangwon Lee

Vol. 24, No. 1, Page: 125 ~ 140 | 10.13088/jiis.2018.24.1.125

7. Mining Intellectual History Using Unstructured Data Analytics to Classify Thoughts for Digital Humanities

Hansol Seo, and Ohbyung Kwon

Vol. 24, No. 1, Page: 141 ~ 166 | 10.13088/jiis.2018.24.1.141

8. A Time Series Graph based Convolutional Neural Network Model for Effective Input Variable Pattern Learning : Application to the Prediction of Stock Market

Mo-Se Lee, and Hyunchul Ahn

Vol. 24, No. 1, Page: 167 ~ 181 | 10.13088/jiis.2018.24.1.167

9. Construction of Event Networks from Large News Data Using Text Mining Techniques

Lee Minchul, and Hea-Jin Kim

Vol. 24, No. 1, Page: 183 ~ 203 | 10.13088/jiis.2018.24.1.183

10. Transfer Learning using Multiple ConvNet Layers Activation Features with Pr incipal Component Analysis for Image Classification

Byambajav Batkhuu , Alikhanov Jumabek , Fang Yang, Seunghyun Ko, and Geun Sik Jo

Vol. 24, No. 1, Page: 205 ~ 225 | 10.13088/jiis.2018.24.1.205

11. Emoticon by Emotions: The Development of an Emoticon Recommendation System Based on Consumer Emotions

Keon-Woo Kim, and Do-Hyung Park

Vol. 24, No. 1, Page: 227 ~ 252 | 10.13088/jiis.2018.24.1.227

12. Improving Bidirectional LSTM-CRF model Of Sequence Tagging by using Ontology knowledge based feature

Seunghee Jin, Heewon Jang, and Wooju Kim

Vol. 24, No. 1, Page: 253 ~ 267 | 10.13088/jiis.2018.24.1.253

Correspondence

If you have any questions, please send them to Manuscript Editor(journal@kiiss.or.kr) or Manager(E-mail. office@kiiss.or.kr, Tel. +82-2-3295-0997, Office. Ewha-Shinsegae Hall Rm. B105, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea).