Future Trends and Challenges in Data Mining Technology

Topic Information

Dear Colleagues,

Regarding future trends and challenges in data mining, first of all, the development of data mining technology will benefit from the continuous development of machine learning, deep learning, and artificial intelligence technologies. With the development of these technologies, data mining algorithms will become more complex and efficient, becoming better suited to solving practical problems. Secondly, with the development of the Internet and big data technology, the amount of data is constantly growing. This will create more opportunities for data mining, but it will also bring about more challenges. Data mining algorithms will require higher performance and better scalability to adapt to big data environments. Thirdly, with the development of data mining technology, privacy issues have gradually become the focus of attention. Data mining algorithms need to ensure data security and privacy to protect users' private information. Finally, with the development of data mining technology, algorithm interpretability will become an important research direction. Data mining algorithms need to be easier to understand so that users can better understand and interpret the results.

Prof. Dr. Qun Dai
Dr. Qing Tian
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	5.3	2011	17.8 Days	CHF 2400	Submit
Data data	2.2	4.3	2016	27.7 Days	CHF 1600	Submit
Electronics electronics	2.6	5.3	2012	16.8 Days	CHF 2400	Submit
Information information	2.4	6.9	2010	14.9 Days	CHF 1600	Submit
Mathematics mathematics	2.3	4.0	2013	17.1 Days	CHF 2600	Submit

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