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...
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...
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...
By Nicholas E Taylor, University of Pennsylvania Dissertation 2010 Abstract Cooperative management of data is a difficult challenge. In the absence of a central authority, there is often no single data format, and users may not...
By Mengmeng Liu, University of Pennsylvania Dissertation 2016 Abstract Over the recent years, we have seen an increasing number of applications in networking, sensor networks, cloud computing, and environmental monitoring, which monitor, plan, control, and make...
BY Svilen R Mihaylov, University of Pennsylvania Dissertation 2012 Abstract We are witnessing a dramatic increase in the amount of data: environmental readings, web pages, social networks, medical records, genome sequences, etc. Special acquisition...
About Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations. In the past, these two modes of operation were found only in separate, stove-piped...