In wide area networks, retrieving the relevant text is a challenging task for information retrieval because most of the information requests are text based. The focus of paper is on the similarity measurement, performance evaluation and design of information retrieval techniques using the four similarity functions i.e. Jaccard, Cosine, Dice and Overlap. The performance evaluation of these simil...

Tanimoto, or extended Jaccard, is an important similarity measure which has seen prominent use in fields such as data mining and chemoinformatics. Many of the existing state-of-the-art methods for market basket analysis, plagiarism and anomaly detection, compound database search, and ligand-based virtual screening rely heavily on identifying Tanimoto nearest neighbors. Given the rapidly increas...

In this study Jaccard Distance was performed by measuring the asymmetric information on binary variable and the comparison between vectors component. It compared two objects and notified the degree of similarity of these objects. After thorough preprocessing tasks; like translation, rotation, invariance scale content and noise resistance done onto the hand sketch object, Jaccard distance still ...

The aim of this work was to analyze genetic variability in 18 populations of Maytenus ilicifolia, and representatives of Maytenus aquifolia and Maytenus evonymoidis, collected in the states of Mato Grosso do Sul, Paraná, Santa Catarina and Rio Grande do Sul, using RAPD molecular markers. Considering total samples of the three species, 263 amplified fragments were identified, of which 72.2% show...

In this study, we analyzed dominant molecular markers to estimate the genetic divergence of 26 popcorn genotypes and evaluate whether using various dissimilarity coefficients with these dominant markers influences the results of cluster analysis. Fifteen random amplification of polymorphic DNA primers produced 157 amplified fragments, of which 65 were monomorphic and 92 were polymorphic. To cal...

Abstract—A Hybrid-Similarity technique is proposed for improving the matching accuracy in wafer fail-map pattern detection compared with Cosine-Similarity and Jaccard-Similarity. This is good for gathering the failure data in engineer pre-defined patterns. The adapted low pass filtering and cutting-off technique make the matching calculation simpler and faster than conventional methods. From 5 ...

Mapping heterogeneous ontologies is usually performed manually by domain experts, or accomplished by computer programs via comparing the structures of the ontologies and the linguistic semantics of their concepts. In this work, we take a different approach to compare and map the concepts of heterogeneous domain-specific ontologies by using a document corpus in a domain similar to the domain of ...

“Collaborative filtering” is the most used approach in recommendation systems since it provides good predictions. However, it still suffers from many drawbacks such as sparsity and scalability problems especially for huge datasets which consist of a large number of users and items. This paper presents a new algorithm for neighborhood selection based on two heuristic approaches. The first of whi...