In this blog post, I will discuss one of my recent and current project. I have been recently working with my colleague Chun-Wei Lin on launching a new journal, titled “Data Science and Pattern Recognition“.
This is a new open-access journal, with a focus on data science, big data, and pattern recognition. The journal will be published by the Taiwanese publisher Ubiquitous International, which already publishes several SCI journals. In the next year, we will be pushing hard to make this journal a high level journal. For this purpose, we have worked hard on creating an outstanding editorial board with world-class researchers in the fields of data science and pattern recognition.
It is our goal to make the journal EI and SCI indexed in the next years. Currently, there is no publication fee for publishing in this journal, to help support the journal initially. But there should be some in the future, since it is an open-access journal. Thus, it is a good time to submit your papers, now!
There will be 4 issues per year, for a total of approximately 24 papers per year. The first issue has just been published. It contains five papers including a paper that I wrote.
- Daniel Meana-Llorián, Cristian González García, Vicente García-Díaz, B. Cristina Pelayo G-Bustelo, and Nestor Garcia-Fernandez, “SenseQ: Replying questions of Social Networks users by using a Wireless Sensor Network based on sensor relationships,” Data Science and Pattern Recognition, vol. 1(1), pp. 1-12, 2017.
- Ja-Hwung Su, Wei-Yi Chang, and Vincent S. Tseng, “Integrated Mining of Social and Collaborative Information for Music Recommendation,” Data Science and Pattern Recognition, vol. 1(1), pp. 13-30, 2017.
- King-Hang Wang, Subrota K. Mondal, Ki Chan, and Xiaoheng Xie, “A Review of Contemporary E-voting: Requirements, Technology, Systems and Usability,” Data Science and Pattern Recognition, vol. 1(1), pp. 31-47, 2017.
- Hui-Huang Tsai, Mu-En Wu, and Wei-Hwa Wu, “The Information Content of Implied Volatility Skew: Evidence on Taiwan Stock Index Options,” Data Science and Pattern Recognition, vol. 1(1), pp. 48-53, 2017.
- Philippe Fournier-Viger, Jerry Chun-Wei Lin, Rage Uday Kiran, Yun Sing Koh, and Rincy Thomas, “A Survey of Sequential Pattern Mining,” Data Science and Pattern Recognition, vol. 1(1), pp. 54-77, 2017.
The next issue is planned for June, so if you want to submit a paper, please send it before June. After that, the following issues should be in September and December. In any case, if you have any question about the journal, you can have a look at the website, let me know directly, or use the contact e-mail on the journal website to contact us.
Philippe Fournier-Viger is a professor of Computer Science and also the founder of the open-source data mining software SPMF, offering more than 120 data mining algorithms.