An overview of data quality frameworks
C Cichy, S Rass - Ieee Access, 2019 - ieeexplore.ieee.org
Nowadays, the importance of achieving and maintaining a high standard of data quality is
widely recognized by both practitioners and researchers. Based on its impact on …
widely recognized by both practitioners and researchers. Based on its impact on …
Data fusion
J Bleiholder, F Naumann - ACM computing surveys (CSUR), 2009 - dl.acm.org
The development of the Internet in recent years has made it possible and useful to access
many different information systems anywhere in the world to obtain information. While there …
many different information systems anywhere in the world to obtain information. While there …
Data and information quality
C Batini, M Scannapieco - Cham, Switzerland: Springer International …, 2016 - Springer
This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
Data-Centric Systems and Applications
The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …
accessible data source in the world. Web mining aims to discover useful information or …
Effective keyword-based selection of relational databases
The wide popularity of free-and-easy keyword based searches over World Wide Web has
fueled the demand for incorporating keyword-based search over structured databases …
fueled the demand for incorporating keyword-based search over structured databases …
[HTML][HTML] A dataspace-based framework for OLAP analyses in a high-variety multistore
Abstract The success of NoSQL DBMSs has pushed the adoption of polyglot storage
systems that take advantage of the best characteristics of different technologies and data …
systems that take advantage of the best characteristics of different technologies and data …
[PDF][PDF] A data quality methodology for heterogeneous data
ABSTRACT We present a Heterogenous Data Quality Methodology (HDQM) for Data Quality
(DQ) assessment and improvement that considers all types of data managed in an …
(DQ) assessment and improvement that considers all types of data managed in an …
Approximate OLAP of document-oriented databases: A variety-aware approach
Schemaless databases, and document-oriented databases in particular, are preferred to
relational ones for storing heterogeneous data with variable schemas and structural forms …
relational ones for storing heterogeneous data with variable schemas and structural forms …
CARVE: Context-aware automatic view definition over relational databases
Classical database design strategies, based on the a priori definition of application views to
be finally integrated in the design of the global databases, are not appropriate for the design …
be finally integrated in the design of the global databases, are not appropriate for the design …