How to choose a predictive algorithm.
How to choose a predictive algorithm. By MICHAEL BOWLES. You have to build a system for making predictions (which customers are going to leave, what ad will get clicked, which claims are fraudulent) based on...
Operational Database Management Systems
How to choose a predictive algorithm. By MICHAEL BOWLES. You have to build a system for making predictions (which customers are going to leave, what ad will get clicked, which claims are fraudulent) based on...
Make the Data Work for You with New Data Warehouse Automation Technology by Erez Zeevi,Executive Vice President, Research and Development and Global Technical Operations, Attunity. It’s no secret that Business Intelligence projects are only...
Can Columnar Database Systems Help Mathematical Analytics? by Carlos Ordonez, Department of Computer Science, University of Houston It is now folklore that row DBMSs will dominate transaction processing and columnar DBMS will be prerred...
Big Data Is not just a New Type, but a New Paradigm Bin Jiang, Faculty of Engineering and Sustainable Development, Division of GIScience, University of Gävle, SE-801 76 Gävle, Sweden Email: bin.jiang @ hig.se DOI: 10.13140/RG.2.1.2322.2484 · Originally...
SQL, Programming, and Big Data: An Opinion by Michael Blaha One cannot help but be impressed with the accomplishments of Big Data. Google, Facebook, Amazon, and the like are handling massive quantities of unstructured...
How big and open data can be used for the common good Edited by Peter Baeck February 2015 Nesta is an innovation charity with a mission to help people and organisations bring great ideas...
ODBMS.org Q&A with Shawn Rogers, Chief Research Officer, Dell Statistica: 2016 Analytics Predictions “A ‘citizen data scientist’ is an everyday, non-technical user that lacks the statistical and analytical prowess of a traditional data scientist,...
Big data is dead, long live big data By Rafael Garcia-Navarro, Head of Analytics Experian UK&I The origin of the term big data is controversial at best, with fervent supporters and equally passionate detractors....
What is data blending By Oleg Roderick, David Sanchez, Geisinger Data Science, November 2015 1 Introduction 2 Comparable Topics in Applied Science 3 Expectations for Participants 4 History of Data Blending 5 Extending the Method 6 Conclusions 7 References Introduction Contest...
Self-Paced E-learning course: Advanced Analytics in a Big Data World SAS Training The E-learning course starts by refreshing the basic concepts of the analytics process model: data preprocessing, analytics and post processing. We then...