Automated web usage data mining and recommendation system using K-Nearest Neighbor (KNN) classification method
D.A. Adeniyi,Z. Wei,Y. Yongquan +2 more
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TLDR
The result shows that the K-Nearest Neighbor classifier is transparent, consistent, straightforward, simple to understand, high tendency to possess desirable qualities and easy to implement than most other machine learning techniques specifically when there is little or no prior knowledge about data distribution.About:
This article is published in Applied Computing and Informatics.The article was published on 2016-01-01 and is currently open access. It has received 312 citations till now. The article focuses on the topics: Data stream mining & Clickstream.read more
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Journal ArticleDOI
Efficient task-specific data valuation for nearest neighbor algorithms
Ruoxi Jia,David Dao,Boxin Wang,Frances Ann Hubis,Nezihe Merve Gürel,Bo Li,Ce Zhang,Costas J. Spanos,Dawn Song +8 more
TL;DR: This paper defines the "relative value of data" via the Shapley value, as it uniquely possesses properties with appealing real-world interpretations, such as fairness, rationality and decentralizability, and develops an algorithm based on Locality Sensitive Hashing (LSH) with only sublinear complexity.
Journal ArticleDOI
A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals
TL;DR: Results indicate that EEG signals discriminate SZ patients from healthy control (HC) subjects efficiently and have the potential to become a tool for the psychiatrist to support the positive diagnosis of SZ.
Journal ArticleDOI
A novel recommendation method based on social network using matrix factorization technique
TL;DR: This work proposes a novel recommendation method based on social network using matrix factorization technique that achieves superior performance to existing methods and alleviates the sparsity problem of recommender systems.
Journal ArticleDOI
Machine learning in medical applications: A review of state-of-the-art methods
Mohammad Shehab,Laith Abualigah,Qusai Shambour,Muhannad A. Abu-Hashem,Moh'd Khaled Yousef Shambour,Ahmed Izzat Alsalibi,Amir H. Gandomi +6 more
TL;DR: A comprehensive review of the use of ML in the medical field highlighting standard technologies and how they affect medical diagnosis is provided in this article , where five major medical applications are deeply discussed, focusing on adapting the ML models to solve the problems in cancer, medical chemistry, brain, medical imaging, and wearable sensors.
Proceedings ArticleDOI
Movie Recommender System Using K-Means Clustering AND K-Nearest Neighbor
TL;DR: The results given by the proposed system are better than the existing technique on the basis of RMSE value, and there is a clear picture of where to apply which algorithm in different areas of industries such as recommender systems, e-commerce, etc.
References
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Posted Content
Principles of data mining
TL;DR: This paper gives a lightning overview of data mining and its relation to statistics, with particular emphasis on tools for the detection of adverse drug reactions.
Journal ArticleDOI
A fuzzy K-nearest neighbor algorithm
TL;DR: The theory of fuzzy sets is introduced into the K-nearest neighbor technique to develop a fuzzy version of the algorithm, and three methods of assigning fuzzy memberships to the labeled samples are proposed.
Journal ArticleDOI
Data Preparation for Mining World Wide Web Browsing Patterns
TL;DR: This paper presents several data preparation techniques in order to identify unique users and user sessions and Transactions identified by the proposed methods are used to discover association rules from real world data using the WEBMINER system.