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A theoretical framework for exploratory data mining: recent insights and challenges ahead

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MLA
De Bie, Tijl, and Eirini Spyropoulou. “A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead.” Lecture Notes in Computer Science. Vol. 8190. Springer, 2013. 612–616. Print.
APA
De Bie, Tijl, & Spyropoulou, E. (2013). A theoretical framework for exploratory data mining: recent insights and challenges ahead. LECTURE NOTES IN COMPUTER SCIENCE (Vol. 8190, pp. 612–616). Presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Springer.
Chicago author-date
De Bie, Tijl, and Eirini Spyropoulou. 2013. “A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead.” In Lecture Notes in Computer Science, 8190:612–616. Springer.
Chicago author-date (all authors)
De Bie, Tijl, and Eirini Spyropoulou. 2013. “A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead.” In Lecture Notes in Computer Science, 8190:612–616. Springer.
Vancouver
1.
De Bie T, Spyropoulou E. A theoretical framework for exploratory data mining: recent insights and challenges ahead. LECTURE NOTES IN COMPUTER SCIENCE. Springer; 2013. p. 612–6.
IEEE
[1]
T. De Bie and E. Spyropoulou, “A theoretical framework for exploratory data mining: recent insights and challenges ahead,” in LECTURE NOTES IN COMPUTER SCIENCE, 2013, vol. 8190, pp. 612–616.
@inproceedings{7021325,
  author       = {{De Bie, Tijl and Spyropoulou, Eirini}},
  booktitle    = {{LECTURE NOTES IN COMPUTER SCIENCE}},
  language     = {{eng}},
  pages        = {{612--616}},
  publisher    = {{Springer}},
  title        = {{A theoretical framework for exploratory data mining: recent insights and challenges ahead}},
  volume       = {{8190}},
  year         = {{2013}},
}