A similarity join is a fundamental operation in data mining and database management, used to identify pairs of records from different datasets that are similar to each other based on some defined similarity metric. The primary goal of a similarity join is to find pairs of records that have similar attributes or features, even if the records are not identical. This is particularly useful when dealing with data from various sources that may contain variations, errors, or inconsistencies. Path-based algorithms for similarity join refer to techniques that utilize paths (sequences of edges) connecting nodes in a graph to determine the similarity between pairs of nodes. These algorithms are commonly used in various fields, such as graph mining, network analysis, and data integration.

"About this title" may belong to another edition of this title.

Store Description

I mainly carry imported books from South East Asia / South Asia for readers of all Age Groups.

Visit Seller's Storefront

Seller's business information

PLETOS INC
6931 51st Avenue, WOODSIDE, Woodside, NY, 11377, U.S.A.

Sale & Shipping Terms

Terms of Sale

We accept return for those books which are received damaged. Though we take appropriate care in packing to avoid such situation.

Shipping Terms

Shipping rates within U.S.A.

Shipping rates within U.S.A.
Order quantity	12 to 19 business days	12 to 14 business days
First item	US$ 3.99	US$ 6.99

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.