Results 141 to 150 of about 101,562 (188)

k-Factor-Based Cosine Similarity Measurement

2018
With rapid increase in volume of text documents over Internet, the collections of document in digitilized form piling up every day. There is a need of effective and efficient measurement techniques in order to deal with such an enormous amount of data.
Nadia Siddiqui, Saiful Islam
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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 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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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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Distance Weighted Cosine Similarity Measure for Text Classification

2013
In Vector Space Model, Cosine is widely used to measure the similarity between two vectors. Its calculation is very efficient, especially for sparse vectors, as only the non-zero dimensions need to be considered. As a fundamental component, cosine similarity has been applied in solving different text mining problems, such as text classification, text ...
Baoli Li, Liping Han
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Similarity measures of Pythagorean fuzzy sets based on combination of cosine similarity measure and Euclidean distance measure

AIP Conference Proceedings, 2018
Similarity measures based-distance for intuitionistic fuzzy sets (IFSs) have been proposed to the literature. However, this sort of similarity measure has an impediment as it cannot fulfill the axiomatic definition of the similarity by providing the counter-intuitive cases. Due to the disadvantage, a similarity based-distance for Pythagorean fuzzy sets
Wan Rosanisah Wan Mohd, Lazim Abdullah
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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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Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets

2012
Similarity of intuitionistic fuzzy sets (IFSs) is an important measure to indicate the similarity degree between IFSs. Recently, Ye (2011) proposed a similarity measure between IFSs based on the cosine concept. Although this cosine similarity measure has good concept and merit, the measure is not satisfied the definition of a similarity between IFSs ...
Chao-Ming Hwang, Miin-Shen Yang
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Automatic Text Summarization using Soft-Cosine Similarity and Centrality Measures

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020
The exponentially evolving size of information today has made it difficult to find relevant information quickly and efficiently. A good extractive text summarizer not only provides the most significant information from the document but also helps the user to decide the relevance of the information.
Minni Jain, Harshita Rastogi
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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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