It takes the average reader and 30 minutes to read Advancing the discovery of unique column combinations by Ziawasch Abedjan
Assuming a reading speed of 250 words per minute. Learn more
Unique column combinations of a relational database table are sets of columns that contain only unique values. Discovering such combinations is a fundamental research problem and has many different data management and knowledge discovery applications. Existing discovery algorithms are either brute force or have a high memory load and can thus be applied only to small datasets or samples. In this paper, the wellknown GORDIAN algorithm and "Apriori-based" algorithms are compared and analyzed for further optimization. We greatly improve the Apriori algorithms through efficient candidate generation and statistics-based pruning methods. A hybrid solution HCAGORDIAN combines the advantages of GORDIAN and our new algorithm HCA, and it significantly outperforms all previous work in many situations.
Advancing the discovery of unique column combinations by Ziawasch Abedjan is 30 pages long, and a total of 7,500 words.
This makes it 10% the length of the average book. It also has 9% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 40 minutes to read Advancing the discovery of unique column combinations aloud.
Advancing the discovery of unique column combinations is suitable for students ages 8 and up.
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