3 papers
cs.DB2021
Em-K Indexing for Approximate Query Matching in Large-scale ER
Samudra Herath, Matthew Roughan, Gary Glonek
Accurate and efficient entity resolution (ER) is a significant challenge in many data mining and analysis projects requiring integrating and processing massive data collections. It…
cs.LG2021
High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling
Samudra Herath, Matthew Roughan, Gary Glonek
The recent rapid growth of the dimension of many datasets means that many approaches to dimension reduction (DR) have gained significant attention. High-performance DR algorithms a…
stat.ME2020
Simulating Name-like Vectors for Testing Large-scale Entity Resolution
Samudra Herath, Matthew Roughan, Gary Glonek
Accurate and efficient entity resolution (ER) has been a problem in data analysis and data mining projects for decades. In our work, we are interested in developing ER methods to h…