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Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
In nowadays we observe that there is more data than that can be effectively analyzed. Organizing this data has become one of the biggest problems in Computer Science. Many algorithms have been proposed for this purpose, highlighting those related to the Data Mining area, specifically the automatic document classification (ADC) algorithms.
Leonardo Rocha +9 more
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In nowadays we observe that there is more data than that can be effectively analyzed. Organizing this data has become one of the biggest problems in Computer Science. Many algorithms have been proposed for this purpose, highlighting those related to the Data Mining area, specifically the automatic document classification (ADC) algorithms.
Leonardo Rocha +9 more
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Proceedings of the 2008 ACM conference on Recommender systems, 2008
Recommender systems, based on collaborative filtering, draw their strength from techniques that manipulate a set of user-rating profiles in order to compute predicted ratings of unrated items. There are a wide range of techniques that can be applied to this problem; however, the k-nearest neighbour (kNN) algorithm has become the dominant method used in
Neal Lathia, Stephen Hailes, Licia Capra
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Recommender systems, based on collaborative filtering, draw their strength from techniques that manipulate a set of user-rating profiles in order to compute predicted ratings of unrated items. There are a wide range of techniques that can be applied to this problem; however, the k-nearest neighbour (kNN) algorithm has become the dominant method used in
Neal Lathia, Stephen Hailes, Licia Capra
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Heart Disease Prediction Using Extended KNN (E-KNN)
2021The WHO estimates that deaths due to heart disease are the number one cause worldwide, accounting for around 30% annually taking an estimated 1.5 crores who die due to this disease. In this study, an extension of KNN algorithm known as E-KNN is used and compares with the results of different machine learning methods such as K-Nearest Neighbor (KNN ...
R. Sateesh Kumar, S. Sameen Fatima
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An Improved kNN Algorithm – Fuzzy kNN
2005As a simple, effective and nonparametric classification method, kNN algorithm is widely used in text classification. However, there is an obvious problem: when the density of training data is uneven it may decrease the precision of classification if we only consider the sequence of first k nearest neighbors but do not consider the differences of ...
Wenqian Shang +5 more
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Emotion Recognition Using Q-KNN: A Faster KNN Approach
2020Emotion recognition is the most relevant field in human–machine interaction. In this paper, primary emotions are recognized as these form the base for secondary emotions. This paper performs emotion recognition by experimenting on the existing classifier K-nearest neighbor (KNN) by adding a quantization layer in its architecture to decrease its ...
Preeti Kapoor, Narina Thakur
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Strain induced giant magnetoelectric coupling in KNN/Metglas/KNN sandwich multilayers
Applied Physics Letters, 2017A lead-free magnetoelectric composite with sandwich layers of K0.5Na0.5NbO3 (KNN)/Co76Fe14Ni4Si5B (Metglas)/KNN is fabricated as a cantilever and it is characterized for its magnetic, ferroelectric, and magnetoelectric properties. Giant magnetoelectric (ME) coupling is recorded under both resonant and sub resonant conditions and the data are presented ...
C. S. Chitra Lekha +5 more
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2021
In this chapter, you will discover the kNN model. The kNN model is the third supervised machine learning model that is covered in this book. Like the two previous models, the kNN model is also one of the simpler models. It is also intuitively easy to understand how the model works.
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In this chapter, you will discover the kNN model. The kNN model is the third supervised machine learning model that is covered in this book. Like the two previous models, the kNN model is also one of the simpler models. It is also intuitively easy to understand how the model works.
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$\bar KNN$ RESONANCE $\bar KNN - \pi YN$ COUPLED CHANNEL FADDEEV EQUATION
Modern Physics Letters A, 2009The three-body resonance of [Formula: see text] system is investigated by using the [Formula: see text] coupled channels Faddeev equation. The resonance energy is determined from the pole of S -matrix on the unphysical sheet. It is found that the pole positions of the predicted amplitudes are significantly modified when the three-body dynamics is ...
T. SATO, Y. IKEDA
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Distributed kNN Query Authentication
2018 19th IEEE International Conference on Mobile Data Management (MDM), 2018With the prevalence of location-based services and geo-functioned devices, the trend of spatial data outsourcing is rising. In the data outsourcing scenario, result integrity must be ensured by means of a query authentication scheme. However, most of the existing studies are confined to a centralized environment. In this paper, we investigate the query
Ce Zhang +3 more
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Combining One Class Fuzzy KNN’s
2007This paper introduces a parallel combination of N> 2 one class fuzzy KNN(FKNN) classifiers. The classifier combination consists of a new optimization procedure based on a genetic algorithm applied to FKNN's, that differ in the kind of similarity used.
DI GESU', Vito, LO BOSCO, Giosue'
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