English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Traditional approaches focus on finding relationships between two entire timeseries, however, many interesting relationships exist in small sub-intervals oftime and remain feeble during other sub-intervals. We define the notion of asub-interval relationship (SIR) to capture such interactions that are prominentonly in certain sub-intervals of time. To that end, we propose a fast-optimalguaranteed algorithm to find most interesting SIR relationship in a pair oftime series. Lastly, we demonstrate the utility of our method in climatescience domain based on a real-world dataset along with its scalability scopeand obtain useful domain insights.

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series