Big Data with Decision Tree Induction
Published in 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2019), 2019
This paper presents a scalable classification methodology based on decision tree induction applied to big data scenarios. The work explores ensemble and partitioning strategies to handle large volumes of data efficiently while maintaining classification accuracy.
Authors: S. Sabah, S. Z. B. Anwar, S. Afroze, M. A. Azad, S. Shatabda, D. M. Farid
Venue: SKIMA 2019 – Island of Ulkulhas, Maldives
Recommended citation: S. Sabah, S. Z. B. Anwar, S. Afroze, M. A. Azad, S. Shatabda, and D. M. Farid. (2019). "Big Data with Decision Tree Induction." In 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), Island of Ulkulhas, Maldives, pp. 1–6. IEEE. https://doi.org/10.1109/SKIMA47702.2019.8982419