A Study on Similarity Join in Heterogeneous Information Network - S., Sandhya;B., Sahiti Reddy;K., Deeksha
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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)…mehr

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Produktbeschreibung
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.
Autorenporträt
Assistant Professor with 15 years of experience in teaching the students of Computer Science and Engineering in Bachelor of Technology. Researcher in the field of Cyber security and sensitizing the common population by spreading the awareness on the importance of understanding cyber etiquettes.