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Wednesday, June 19, 2019

The quest for high-quality data

The following excerpt is from The quest for high-quality data: Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge, a blog post written by Cheriton School of Computer Science Professor Ihab Ilyas and Ben Lorica, Chief Data Scientist at OReilly Media.

Researchers at the Cheriton School of Computer Science have found that individuals may be more motivated to do work for their favourite charity than for money. 

In a study reviewing the efficacy of a new online work-sharing platform designed to put money into the hands of charities, the researchers discovered that people providing their skills and labour toward a specific task tended to do a better job if they knew their favourite charity rather than themselves would be paid for it.

Blockchain technology creates digital ledgers that record sequential exchanges of information, commonly called transactions. To improve performance, transactions are batched into blocks before they are added to the ledger. Each new block contains a hash value which, like a mugshot, acts as an identifier and proof of the previous state of the ledger.

PhD student Alireza Heidari and Professor Ihab Ilyas at the Cheriton School of Computer Science along with international colleagues have developed a novel tool to manage the quality of your data. Called HoloClean, this revolutionary tool is the first to use artificial intelligence to sift out dirty data and correct errors before processing it.

Professor Kate Larson has been appointed a University Research Chair in recognition of her outstanding research contributions to the field of artificial intelligence. Waterloo’s designation of University Research Chair recognizes exceptional achievement of faculty and their pre-eminence in a field of knowledge.