Results 261 to 270 of about 18,970 (289)

Cosine similarity to determine similarity measure: Study case in online essay assessment

2016 4th International Conference on Cyber and IT Service Management, 2016
Development of technology in educational field brings the easier ways through the variety of facilitation for learning process, sharing files, giving assignment and assessment. Automated Essay Scoring (AES) is one of the development systems for determining a score automatically from text document source to facilitate the correction and scoring by ...
Alfirna Rizqi Lahitani, Adhistya Erna Permanasari, Noor Akhmad Setiawan   +2 more
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Local Positioning System Performance Evaluation with Cosine Correlation Similarity Measure

2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011
Global Positioning System technology has been widely utilized for various applications. Nevertheless, it only performs accurately in outdoor environment. Thus, Local Positioning System has been introduced specifically to determine position in indoor environment.
Sham Firdaus Md. Ali, Rosilah Hassan
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The cosine similarity measures of spherical fuzzy sets and their applications in decision making

Journal of Intelligent & Fuzzy Systems, 2019
 The novel concept of spherical fuzzy set consists of positive, neutral and negative membership grades which satisfy the conditions that the square sum of its membership grades is less than or equal to 1. In this paper, we investigate the family of novel similarity measures between spherical fuzzy sets based on cosine function by considering the ...
Muhammad Rafiq, Shahzaib Ashraf, Saleem Abdullah, Tahir Mahmood 0002, Shakoor Muhammad   +4 more
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A New Measure of Similarity in Textual Analysis: Vector Similarity Metric versus Cosine Similarity Metric

SSRN Electronic Journal, 2021
ABSTRACT This paper proposes a new similarity metric, Vector Similarity Metric (VSM), which is as simple as the popular Cosine Similarity Metric (CSM). The CSM has a major deficiency. It yields the same value, irrespective of how different the two vectors are in their sizes so long as the angle between them is the same.
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Integrated Cosine And Tuned Cosine Similarity Measure To Alleviate Data Sparsity Issues For Personalized Recommendation

2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS), 2018
E-commerce is an exemplary representation for online commercial transactions which permits business applications to deal with different organizations. Many organizations rely on these websites to show rapid improvement in online digital transaction by amplifying an accurate recommendation list to the end user.
H. Mohana, M. Suriakala
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Document Clustering Using Concept Space and Cosine Similarity Measurement

2009 International Conference on Computer Technology and Development, 2009
Document clustering is related to data clustering concept which is one of data mining tasks and unsupervised classification. It is often applied to the huge data in order to make a partition based on their similarity. Initially, it used for Information Retrieval in order to improve the precision and recall from query.
Lailil Muflikhah, Baharum Baharudin
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A new intuitionistic fuzzy cosine similarity measures and its application

2012 IEEE International Conference on Industrial Engineering and Engineering Management, 2012
Recent several researches have developed similarity measures method for handling pattern recognition problems based on intuitionistic fuzzy sets. However, in some cases, those proposed method can not give sufficient information to discriminate from some patterns.
Kuo-Chen Hung, Kuo-Ping Lin
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Missing Value Imputation Approach Using Cosine Similarity Measure

2020
Mining incomplete datasets containing missing values can produce various problems in data mining, particularly with the large-scale dataset. Missing data is one of the major factors affecting the quality of data. Missing value imputation provides optimal solutions to deal with incomplete datasets containing missing values.
Wajeeha Rashid, Sakshi Arora, Manoj Kumar Gupta   +2 more
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COSINE ENTROPY AND SIMILARITY MEASURES FOR FUZZY SETS

2014
In the present paper, based on the cosine function, a new fuzzy entropy measure is de ned. Some interesting properties of this measure are analyzed. Furthermore, a new fuzzy similarity measure has been proposed with its elegant properties. A relation between the proposed fuzzy entropy and fuzzy similarity measure has also been proved.
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Hierarchical Clustering for Sentence Extraction Using Cosine Similarity Measure

2015
Clustering is an unsupervised learning technique, grouping a set of objects into subsets or clusters. It forms the clusters that are similar with the data points internally, but dissimilar with the data points that are present in other clusters from each other.
D. Kavyasrujana, B. Chakradhara Rao
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