• Data mining - Wikipedia
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  • ICDM 2018, Industrial Conference on Data Mining

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems

Data Mining in Healthcare – A Review - ScienceDirect

Analytics and Data Science (Kurt Thearling)

Data mining techniques are the result of a long research and product development process
The aim of the conference is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments. Basic research papers as well as application papers are welcome.

What is Data Analysis and Data Mining? - Database …

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The Industrial Conference on Data Mining ICDM is held on yearly basis.
Researchers from all over the world will present theoretical and application-oriented topics on Data Mining. Practicioners can present and discuss their ongoing projects in Industry Sessions.
Industrial Exhibition · Best-Paper-Award for Talks and Posters · Workshops: Case-Based Reasoning CBR-MD, DM in Marketing DMM, and B2ML I-Business to Manufacturing and LifeSciences - The Internet of Things and Services.

 

Data Mining Large Medical Time Series Databases


This conference is the thirteen conference in a series of industrial conferences on Data Mining that will be held on yearly basis. Experts from different fields will present their applications and the results obtained by applying data mining. Besides that, newcomers in the field can get a fast introduction to Data Mining by taking the tutorial running in connection with the conference. In a problem/solution hour you will have the opportunity to present your application and ask for support by others or for cooperation in solving the problem.


The paper must be formatted in the Springer LNCS format. They should have at most 15 pages. The papers will be reviewed by the program committee. Accepted long papers will be published by Springer Verlag in the LNAI Series in the book Advances in Data Mining, edited by Petra Perner.