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Journal of Data and Information Quality
ACM Press
 
   
 
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  1-10 of 16 reviews Date Reviewed 
   Financial regulatory and risk management challenges stemming from firm-specific digital misinformation
Casey K., Casey K.  Journal of Data and Information Quality 11(1): 1-4, 2019. Type: Article

In today’s digital economy, it is easy to alter the essence of information with regards to both context and value; thus, the potential for misinformation is huge. With this paper, Casey and Casey excellently present a new risk management app...

Sep 30 2021
  Evaluating the effects of missing values and mixed data types on social sequence clustering using t-SNE visualization
Lazar A., Jin L., Spurlock C., Wu K., Sim A., Todd A.  Journal of Data and Information Quality 11(2): 1-22, 2019. Type: Article

The authors discuss how one can compensate for missing values when clustering joint categorical sequences. For example, one might have a set of sequences with both nominal values, such as family size, and binary values, for example, marriage statu...

Apr 21 2021
   Data transparency with blockchain and AI ethics
Bertino E., Kundu A., Sura Z.  Journal of Data and Information Quality 11(4): 1-8, 2019. Type: Article

With the ever-growing use of digital technology, especially the use of big data technologies and machine learning, questions related to the proper use of data collected from social networks led to the introduction of data transparency. Hence, the ...

Apr 14 2021
  The data repurposing challenge: new pressures from data analytics
Woodall P.  Journal of Data and Information Quality 8(3-4): 1-4, 2017. Type: Article

Most corporations are acquiring massive datasets and treating them like corporate assets. In the context of business intelligence, these assets require continuous maintenance and curation activities to obtain certain degrees of quality and value f...

Oct 25 2017
  Automatic discovery of abnormal values in large textual databases
Christen P., Gayler R., Tran K., Fisher J., Vatsalan D.  Journal of Data and Information Quality 7(1-2): 1-31, 2016. Type: Article

Imagine a world where all databases only include predefined entry values where everything works with only enumerations. You don’t need to think about how you can understand what the data is saying, and you don’t need to care about how ...

Sep 8 2016
  Combining user reputation and provenance analysis for trust assessment
Ceolin D., Groth P., Maccatrozzo V., Fokkink W., Van Hage W., Nottamkandath A.  Journal of Data and Information Quality 7(1-2): 1-28, 2016. Type: Article

The social engagement enabled by the Internet moved critical evaluation beyond the specialized few and distributed it in the hands of the common many. It is routine to evaluate the reputation of items in an online shopping context by the five-star...

May 12 2016
  A methodology to evaluate important dimensions of information quality in systems
Todoran I., Lecornu L., Khenchaf A., Le Caillec J.  Journal of Data and Information Quality 6(2): 1-23, 2015. Type: Article, Reviews: (2 of 2)

With evolving requirements and technology, databases hold large amounts of heterogeneous data, collected by different types of sensors, systems, and agents. Even though data quality evaluation research dates back many years, the big data concept h...

Sep 17 2015
  A methodology to evaluate important dimensions of information quality in systems
Todoran I., Lecornu L., Khenchaf A., Le Caillec J.  Journal of Data and Information Quality 6(2): 1-23, 2015. Type: Article, Reviews: (1 of 2)

As the world begins to surf down the “trough of disillusionment” with big data [1], on the journey to sorting out what can be real and what has value, we rediscover the discipline that data and information scientists have been nurturin...

Aug 5 2015
  A hybrid approach to answering why-not questions on relational query results
Herschel M.  Journal of Data and Information Quality 5(3): 1-29, 2015. Type: Article

Developers often have to deal with data cleaning and data integration tasks. During this work, the database programmer may encounter a situation in which the original intention and the obtained result differ. To highlight the root cause of the pro...

Jun 15 2015
  Process-driven data quality management: a critical review on the application of process modeling languages
Glowalla P., Sunyaev A.  Journal of Data and Information Quality 5(1-2): 1-30, 2014. Type: Article

Process modeling languages have been used extensively in designing logical tasks that use resources, and in explaining how the process evolves from beginning to end. They are essential in understanding how activities will work....

Oct 30 2014
 
 
 
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