Deep Web Content Monitoring
PhD Thesis by S. Mohammadreza Khelghati, University of Twente. 2016 In this chapter, our motivations behind writing this book, the raised research questions and the general structure of the book are described. Data is...
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A Contextual Data Quality Analysis for Credit Risk Management in Financial Institutions
PhD thesis by: Helen Tadesse Moges (2014), KU LEUVEN 1.1 Importance of data quality The Space Shuttle Challenger broke apart 73 seconds into its flight on Jan- uary 28, 1986 and killed seven astronauts on board. On...
Business-Driven Data Mining: New Algorithms and Applications
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...
Developing Intelligent Systems for Credit Scoring Using Machine Learning Techniques
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...
Sensor Data Storage for Industrial IoT
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...
OPTIMIZED ALGORITHMS FOR DATA ANALYSIS IN PARALLEL DATABASE SYSTEMS
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...
OPTIMIZING BAYESIAN METHODS FOR HIGH DIMENSIONAL DATA SETS ON ARRAY-BASED PARALLEL DATABASE SYSTEMS
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...
SCALABLE MACHINE LEARNING ALGORITHMS IN PARALLEL DATABASE SYSTEMS EXPLOITING A DATA SUMMARIZATION MATRIX
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...
A distributed storage and query subsystem for collaborative data sharing
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...
Incremental processing and optimization of update streams
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...