InfoQ Homepage Presentations Approximate Methods for Scalable Data Mining
Approximate Methods for Scalable Data Mining
37:03
Summary
Andrew Clegg overviews methods and provides use cases for performing data sets operations like membership testing, distinct counts, and nearest-neighbour finding more efficiently.
Bio
Andrew Clegg has a PhD in computational linguistics and text mining, and has worked in life sciences, healthcare, social and online media, and publishing. Nowadays he heads up the Data Analytics & Visualization team at Pearson in London, helping companies from the Pearson, FT and Penguin groups make the most of their data. Twitter: @andrew_clegg
About the conference
Software is changing the world; QCon aims to empower software development by facilitating the spread of knowledge and innovation in the enterprise software development community; to achieve this, QCon is organized as a practitioner-driven conference designed for people influencing innovation in their teams: team leads, architects, project managers, engineering directors.
Aug 21, 2013