Comparative Analysis of Approximate Blocking Techniques for Entity Resolution

Towards a Scalable and Robust Entity Resolution -Approximate Blocking with Semantic Constraints

Entity resolution, or record linkage, is the process that identifies data records over one or more datasets which refer to the same real world entity. To deal with large datasets, many real-life applications require scalable and high-quality entity resolution techniques. Blocking techniques can help to scale-up the entity resolution process. Locality sensitive hashing (LSH) is an approximate bl...

Towards Scalable Real-Time Entity Resolution using a Similarity-Aware Inverted Index Approach

Most research into entity resolution (also known as record linkage or data matching) has concentrated on the quality of the matching results. In this paper, we focus on matching time and scalability, with the aim to achieve large-scale real-time entity resolution. Traditional entity resolution techniques have assumed the matching of two static databases. In our networked and online world, howev...

The Effect of Transitive Closure on the Calibration of Logistic Regression for Entity Resolution

This paper describes a series of experiments in using logistic regression machine learning as a method for entity resolution. From these experiments the authors concluded that when a supervised ML algorithm is trained to classify a pair of entity references as linked or not linked pair, the evaluation of the model’s performance should take into account the transitive closure of its pairwise lin...

Analysis of squeezing flow of viscous fluid under the influence of slip and magnetic field: comparative studies of different approximate analytical methods

The various industrial and engineering applications of flow of fluid between parallel plates have continued to generate renewed interests. In this work, a comparative study of approximate analytical methods is carried out using differential transformation,homotopy perturbation, Adomian decomposition, variation of parameter and variational iteration methods for the analysis of a steady two-dimen...

A Comparative Approximate Economic Behavior Analysis Of Support Vector Machines And Neural Networks Models