Operational Database Management Systems
PhD thesis by: Alex Seret (2015), KU LEUVEN The explosive growth of the amount of available data and the reliance on data mining techniques have led to the creation of a myriad of new business models and...
PhD thesis by: Bart Baesens (2003), KATHOLIEKE UNIVERSITEIT LEUVEN The last decades witnessed a spectacular increase in computer infrastructures and resources to store huge amounts of data. Many businesses have eagerly adopted these data storing facilities to...
Author: Bart Baesens Publisher: Wiley and SAS Business Series Get it on: Amazon | Wiley ISBN-13: 978-1118892701 | ISBN-10: 1118892704 The guide to targeting and leveraging business opportunities using big data & analytics By leveraging...
Authors: Bart Baesens, Aimée Backiel, Seppe vanden Broucke Publisher: Wrox (Wiley) Get it on: Amazon | Wiley ISBN-13: 978-1118739495 | ISBN-10: 1118739493 A comprehensive Java guide, with samples, exercises, case studies, and step-by-step instructions Beginning...
The Practical Guide to Storing, Managing and Analyzing Big and Small Data To be published by Cambridge University Press This book covers the principles of database management. It starts by defining databases and the...
By Michael Donaghy, Global Business Development Executive Copyright © 2017 Kx Systems, Inc. Introduction Businesses adopting Industrial Internet of Things (IIoT) technologies face a herculean task. In an industry where the number of connected...
Enabling rapid adoption of cloud-native database technology while preserving enterprise investments in existing applications San Francisco – July 6, 2017 – Datometry, the pioneer in database virtualization technology, today announced that CIO Review has named...
Dissertation Date 2017-04-26 Author: Cabrera, Wellington, Department of Computer Science University of Houston Abstract Large data sets are generally stored on disk following an organization as rows, columns or arrays, with row storage being the most...
Master Thesis Date 2014-12 Author: Cabrera, Wellington, Department of Computer Science University of Houston Abstract In this work we solve the problem of variable selection for linear regression on large data sets stored in Database...
Dissertation Date 2016-05 Author Zhang, Yiqun, Department of Computer Science University of Houston Abstract Data summarization is an essential mechanism to accelerate analytic algorithms on large data sets. In this work we present a comprehensive...