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Fundamenta Informaticae, 2021
The k Nearest Neighbor (KNN) algorithm has been widely applied in various supervised learning tasks due to its simplicity and effectiveness. However, the quality of KNN decision making is directly affected by the quality of the neighborhoods in the modeling space.
Le, Linh, Xie, Ying, Raghavan, Vijay V.
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The k Nearest Neighbor (KNN) algorithm has been widely applied in various supervised learning tasks due to its simplicity and effectiveness. However, the quality of KNN decision making is directly affected by the quality of the neighborhoods in the modeling space.
Le, Linh, Xie, Ying, Raghavan, Vijay V.
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International Journal of Information Security and Privacy, 2021
On one hand, there are many proposed intrusion detection systems (IDSs) in the literature. On the other hand, many studies try to deduce the important features that can best detect attacks. This paper presents a new and an easy-to-implement approach to intrusion detection, named distance sum-based k-nearest neighbors (DS-kNN), which is an improved ...
Redha Taguelmimt, Rachid Beghdad
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On one hand, there are many proposed intrusion detection systems (IDSs) in the literature. On the other hand, many studies try to deduce the important features that can best detect attacks. This paper presents a new and an easy-to-implement approach to intrusion detection, named distance sum-based k-nearest neighbors (DS-kNN), which is an improved ...
Redha Taguelmimt, Rachid Beghdad
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kNN-P: A kNN classifier optimized by P systems
Theoretical Computer Science, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Juan +3 more
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Proceedings of the 4th International Conference on Communication and Information Processing, 2018
K nearest neighbor (kNN) method is a popular classification method in data mining because of its simple implementation and significant classification performance. However, kNN do not scale well to big datasets. In this paper, CLUKER, a novel kNN regression method based on hierarchical clustering, is proposed.
Yi Xiang +3 more
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K nearest neighbor (kNN) method is a popular classification method in data mining because of its simple implementation and significant classification performance. However, kNN do not scale well to big datasets. In this paper, CLUKER, a novel kNN regression method based on hierarchical clustering, is proposed.
Yi Xiang +3 more
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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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