@inproceedings{783a3e7117aa41ddbf0afefc5ab07e5b,
title = "Scalable learning technologies for big data mining",
abstract = "As data expands into big data, enhanced or entirely novel data mining algorithms often become necessary. The real value of big data is often only exposed when we can adequately mine and learn from it. We provide an overview of new scalable techniques for knowledge discovery. Our focus is on the areas of cloud data mining and machine learning, semi-supervised processing, and deep learning. We also give practical advice for choosing among different methods and discuss open research problems and concerns.",
keywords = "Big Data, Cloud Data Mining, Deep Learning, Semi-Supervised Learning",
author = "{De Melo}, Gerard and Varde, {Aparna S.}",
note = "Publisher Copyright: {\textcopyright} 2015, Springer International Publishing Switzerland, All rights Reserved.; 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015 ; Conference date: 20-04-2015 Through 23-04-2015",
year = "2015",
language = "English",
isbn = "9783319181226",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
editor = "Cheema, {Muhammad Aamir} and Matthias Renz and Cyrus Shahabi and Xiaofang Zhou",
booktitle = "Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20-23, 2015 Proceedings, Part II",
}