Humane data mining

ABSTRACT

Data Mining has made tremendous strides in the last decade. It is time to take data mining to the next level of contributions, while continuing to innovate for the current mainstream market. We postulate that a fruitful future direction could be humane data mining: applications to benefit individuals. The potential applications include personal data mining (e.g. personal health), enable people to get a grip on their world (e.g. dealing with the long tail of search), enable people to become creative (e.g. inventions arising from linking non-interacting scientific literature), enable people to make contributions to society (e.g. education collaboration networks), and data-driven science (e.g. study ecological disasters, brain disorders). Rooting our future work in these (and similar) applications, will lead to new data mining abstractions, algorithms, and systems.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

General Terms:
Algorithms, Human Factors

Keywords:
collaboration networks, models, personal data mining, scientific applications, search, systems