Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Data Quality Measures and Data Cleansing for Research Information Systems
Overview and Framework for Data and Information Quality Research
Effective Data Cleaning with Continuous Evaluation
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing
Data quality: A survey of data quality dimensions
Managing Data Quality in Business Intelligence Applications
Data Cleaning: Problems and Current Approaches
A knowledge-based approach for duplicate elimination in data cleaning
Contexts and Data Quality Assessment
CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning
Combining Quantitative and Logical Data Cleaning
A comprehensive data quality methodology for web and structured data
A framework and a methodology for data quality assessment and monitoring
Improving Data Quality: Consistency and Accuracy
How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning
Data Quality: Concepts, Methodologies and Techniques
PreCog: Improving Crowdsourced Data Quality Before Acquisition
CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing
An empirical investigation of factors influencing data quality improvement success
Measuring and Comparing Effectiveness of Data Quality Techniques
A Rule Based Taxonomy of Dirty Data
AIMQ: a methodology for information quality assessment
Discovering facts with boolean tensor tucker decomposition
Learning Analytics Architecture to Scaffold Learning Experience through Technology-based Methods
Improving Comprehension of Measurements Using Concrete Re-expression Strategies
Simulation of propagation of modes in planar gradient-index hyperbolic secant waveguide