Minimizing the Total Tardiness of a Game Project Considering the Overlap Effect

Autor: Jen-Ya Wang, Meng-Wei Chen, Kuen-Fang Jea

Publikováno v: IEEE Access, Vol 8, Pp 216507-216518 (2020)

There has long been a custom that game development is not the mainstream of engineering and its tardiness brings little or even no harm to this industry. Nowadays, the pendulum of industrial development has swung to another side. A game project may i

Externí odkaz: https://doaj.org/article/d1dee8f21c43425f86f7f61d90472569

Combining a Bi-LSTM-Based Siamese Network with Word2Vec Algorithm for Classifying High-Dimensional Dataset

Autor: Xian-Zhong Lin, Chia-Hsuan Yeh, Kuen-Fang Jea

Publikováno v: 2021 International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications ISBN: 9783031054907

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::007461504cab237d97d660e8ad40e761
https://doi.org/10.1007/978-3-031-05491-4_21

A Missing Data Imputation Method With Distance Function

Autor: Li-You Tang, Kuen-Fang Jea, Chih-Wei Hsu

Publikováno v: ICMLC

“Missing data” is an important research issue in big data analysis. This problem may cause data hard to analyze precisely. Inrecent research, several imputation-based methods have been proposed to solve the missing data issue without using domain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8e958e31e3b9cb706788a260d85979d8
https://doi.org/10.1109/icmlc.2018.8526985

Two-Agent Advertisement Scheduling on Physical Books to Maximize the Total Profit

Autor: Kuen-Fang Jea, Jen-Ya Wang, Chih-Wei Hsu

Publikováno v: Asia-Pacific Journal of Operational Research. 36:1950014

Most of us may have had the experience of forgetting some term from a physical book when the term appears in neither the table of contents nor the index. Unfortunately, we must search for it page by page. In one edition of the popular physical book �

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::462dcdb1d505e28014f703d720efe749
https://doi.org/10.1142/s0217595919500143

An approach of support approximation to discover frequent patterns from concept-drifting data streams based on concept learning

Autor: Chao-Wei Li, Kuen-Fang Jea

Publikováno v: Knowledge and Information Systems. 40:639-671

In an online data stream, the composition and distribution of the data may change over time, which is a phenomenon known as concept drift. The occurrence of concept drift can affect considerably the performance of a data stream mining method, especia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8c28adf3db1462fa1b7d671713cfe1e
https://doi.org/10.1007/s10115-013-0656-4