نتایج جستجو برای: jaccard similarity coefficient
تعداد نتایج: 274076 فیلتر نتایج به سال:
In the context of theRoboCup Simulation League, we describe a new representation of a software agent’s visual perception (“scene”), well suited for case-based reasoning. Most existing representations use either heterogeneous, manually selected features of the scene, or the raw list of visible objects, and use ad hoc similarity measures for CBR. Our representation is based on histograms of objec...
Objective: To align pharmacologic classes in ATC and MeSH with lexical and instance-based techniques. Methods: Lexical alignment: we map the names of ATC classes to MeSH through the UMLS, leveraging normalization and additional synonymy. Instance-based alignment: we associate ATC and MeSH classes through the drugs they share, using the Jaccard coefficient to measure class-class similarity. We u...
Abstract. In this paper, we propose three similarity measure methods for single valued neutrosophic refined sets and interval neutrosophic refined sets based on Jaccard, Dice and Cosine similarity measures of single valued neutrosophic sets and interval neutrosophic sets. Furthermore, we suggest two multi-criteria decision making method under single valued neutrosophic refined environment and i...
The Jaccard index is an important similarity measure for item sets and Boolean data. On large datasets, an exact similarity computation is often infeasible for all item pairs both due to time and space constraints, giving rise to faster approximate methods. The algorithm of choice used to quickly compute the Jaccard index |A∩B| |A∪B| of two item sets A and B is usually a form of min-hashing. Mo...
In many industrial applications of big data, the Jaccard Similarity Computation has been widely used to measure the distance between two profiles or sets respectively owned by two users. Yet, one semi-honest user with unpredictable knowledge may also deduce the private or sensitive information (e.g., the existence of a single element in the original sets) of the other user via the shared simila...
in order to study the genetic diversity among some male pistachio genotypes,16 male pistachio genotypes and 8 female pistachio cultivars were selected from iranian pistachio research institute (ipri). 12 rapd primers were used which totally produced 65 bands that among them 48 bands were polymorphic and 17 bands were monomorphic. cluster analysis based on similarity matrix and jaccard similarit...
In social data analytics, Virtual Community (VC) detection is a primary challenge in discovering user relationships and enhancing recommendations. VC formation used for personal interaction between communities. But the usual methods didn’t find Suspicious Behaviour (SB) needed to make VC. The Generalized Jaccard Behavior Similarity-based Recurrent Deep Neural Network Classification Ranking (GJS...
We present an item-based approach for collaborative filtering. We determine a list of recommended items for a user by considering their previous purchases. Additionally other features of the users could be considered such as page views, search queries, etc. . . In particular we address the problem of efficiently comparing items. Our algorithm can efficiently approximate an estimate of the simil...
Regarding high economic and conservative values of Zagros forests, and livelihood dependency of local people these recourses, determination of sites with higher conservation index can help us to maintain biodiversity of these forests more efficiently. Therefore, 49 plots with 450 m2 in area accompanied by 1, 10 and 45 m2 subplots were taken as systematic random design in research forests of Yas...
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