A unique partnership seeks to address the underrepresentation and unique barriers facing Latina women and girls of color in information technology.
Jannie Fernandez, JeffriAnne Wilder Pages 18-21COLUMN: Kode vicious
Data scientists face challenges spanning academic and non-academic institutions.
Christine L. Borgman, Michael J. Scroggins, Irene V. Pasquetto, R. Stuart Geiger, Bernadette M. Boscoe, Peter T. Darch, Charlotte Cabasse-Mazel, Cheryl Thompson, Milena S. Golshan Pages 30-32SECTION: Practice
A tool that helps journalists discover new story angles by offering insight not search results.
Neil Maiden, Konstantinos Zachos, Amanda Brown, Dimitris Apostolou, Balder Holm, Lars Nyre, Aleksander Tonheim, Arend van den Beld Pages 46-53
Data on CS graduation rates among six academic institutions in NC traces the demographics of those participating (or not) in the discipline.
Fay Cobb Payton, Alexa Busch Pages 60-68SECTION: Review articles
Magellan's key insight is that a successful entity matching system must offer a versatile system building paradigm for entity matching that can be easily adapted for different application needs.
Wang-Chiew Tan Page 82
Entity matching can be viewed as a special class of data science problems and thus can benefit from system building ideas in data science.
AnHai Doan, Pradap Konda, Paul Suganthan G. C., Yash Govind, Derek Paulsen, Kaushik Chandrasekhar, Philip Martinkus, Matthew Christie Pages 83-91
We show that by making just a few changes to a parallel/distributed relational database system, such a system can become a competitive platform for scalable linear algebra.
Shangyu Luo, Zekai J. Gao, Michael Gubanov, Luis L. Perez, Dimitrije Jankov, Christopher Jermaine Pages 93-101COLUMN: Last byte