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pro vyhledávání: '"Chester, Sean"'
Autor:
Chester, Sean
We focus on the two overlapping areas of preference queries and dataset summarization. A (linear) preference query specifies the relative importance of the attributes in a dataset and asks for the tuples that best match those preferences. Dataset sum
Externí odkaz:
http://hdl.handle.net/1828/4833
Publikováno v:
In Information Systems March 2021 97
Autor:
Chester, Sean
Frequent itemset mining, the task of finding sets of items that frequently occur to- gether in a dataset, has been at the core of the field of data mining for the past sixteen years. In that time, the size of datasets has grown much faster than has t
Externí odkaz:
http://hdl.handle.net/1828/1370
Regret minimizing sets are a very recent approach to representing a dataset D with a small subset S of representative tuples. The set S is chosen such that executing any top-1 query on S rather than D is minimally perceptible to any user. To discover
Externí odkaz:
http://arxiv.org/abs/1207.6329
We consider the recently introduced monochromatic reverse top-k queries which ask for, given a new tuple q and a dataset D, all possible top-k queries on D union {q} for which q is in the result. Towards this problem, we focus on designing indexes in
Externí odkaz:
http://arxiv.org/abs/1205.0837
Publikováno v:
BMC Bioinformatics. 5/3/2022, Vol. 23 Issue 1, p1-28. 28p.
Autor:
Chester, Sean, Huna, Bulelwa
Publikováno v:
Occupational Health Southern Africa; 2024, Vol. 30 Issue 3, p153-154, 2p