Now, a horizontal merge algorithm is forced if the merge should filter rows by TTL. Horizontal merge is more memory-consuming than vertical merge and may not be applicable to wide tables. However, for ...

Set similarity joins represent a critical operation in modern data management by efficiently identifying pairs of data objects—typically sets—that exhibit a similarity above a defined threshold. Such ...

The AI search startup laid out its bid for buying, and rebuilding, TikTok. The AI search startup laid out its bid for buying, and rebuilding, TikTok.

Abstract: This article presents a new image segmentation algorithm based on a Split & Merge approach. By nature, the execution time of Split & Merge algorithms is data-dependent, as their halting ...

It is no rare thing that we are handling an association between very large tables where performance becomes an issue. SPL specifically offers an order-based merge algorithm for primary-key-based ...

The k-generalized Fibonacci numbers are defined as in [1]. A polyphase merge (merging an equal number of sequences from k tapes onto a single unused tape) using k+1 tapes is defined in terms of linear ...

Abstract: This work proposes a novel split and kernel-merge clustering (S-KMC), a nonparametric clustering algorithm that combines the strengths of hierarchical clustering, partitional clustering, and ...

ABSTRACT: Synthetic aperture radar based on the matched filter theory has the ability of obtaining two-di- mensional image of the scattering areas. Nevertheless, the resolution and sidelobe level of ...

ABSTRACT: In this paper, a multiple population genetic algorithm (MPGA) is proposed to solve the problem of optimal load dispatch of gas turbine generation units. By introducing multiple populations ...