Discovering longest-lasting correlation in sequence databases
نویسندگان
چکیده
منابع مشابه
Discovering Longest-lasting Correlation in Sequence Databases
Most existing work on sequence databases use correlation (e.g., Euclidean distance and Pearson correlation) as a core function for various analytical tasks. Typically, it requires users to set a length for the similarity queries. However, there is no steady way to define the proper length on different application needs. In this work we focus on discovering longest-lasting highly correlated subs...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2013
ISSN: 2150-8097
DOI: 10.14778/2556549.2556552