Recent Progress of Anomaly Detection by Xiaodan Xu, Huawen Liu, Minghai Yao

“…Anomaly analysis is of great interest to diverse fields, including data mining and machine learning, and plays a critical role in a wide range of applications, such as medical health, credit card fraud, and intrusion detection. …”
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Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar, Tanuj Chopra

“…Using R miner, the most widely used data mining techniques decision tree (DT) model, random forest (RF) model, and neural network (NN) model have been used and compared with the help of coefficient of determination (R2) and root-mean-square error (RMSE), and it is inferred that the NN model predicts with high accuracy for compressive strength of concrete.…”
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FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining by K. R. Seeja, Masoumeh Zareapoor

“…The performance evaluation of the proposed model is done on UCSD Data Mining Contest 2009 Dataset (anonymous and imbalanced) and it is found that the proposed model has very high fraud detection rate, balanced classification rate, Matthews correlation coefficient, and very less false alarm rate than other state-of-the-art classifiers.…”
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Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models by Jin Dai, Xin Liu

“…The similarity between objects is the core research area of data mining. In order to reduce the interference of the uncertainty of nature language, a similarity measurement between normal cloud models is adopted to text classification research. …”
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Financial Data Anomaly Detection Method Based on Decision Tree and Random Forest Algorithm by Qingyang Zhang

“…With the emergence of machine learning and data mining in recent years, new ideas and methods have emerged in the detection of abnormal network flows. …”
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FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA by N. G. Zagoruiko, O. A. Kutnenko, I. A. Borisova, V. V. Dyubanov, D. A. Levanov, O. A. Zyranov

“…For the solution of such tasks, a Data Mining method based on using a new measure of similarity between objects in the form of the Function of Rival Similarity (FRiS) is offered. …”
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AN IMPROVED FUZZY K-MEANS CLUSTERING ALGORITHM BASED ON WEIGHT ENTROPY MEASUREMENT AND CALINSKI-HARABASZ INDEX by Nguyễn Như Đồng, Phan Thành Huấn

“…Clustering plays an important role in data mining and is applied widely in fields of pattern recognition, computer vision, and fuzzy control. …”
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Split-and-Combine Singular Value Decomposition for Large-Scale Matrix by Jengnan Tzeng

“…It is widely applied in many modern techniques, for example, high- dimensional data visualization, dimension reduction, data mining, latent semantic analysis, and so forth. …”
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L’écriture du monde (I). by Nicolas Perreaux

“…Using a theoretical framework and analysis tools coming from the data mining and digital mapping (GIS), the article seeks to define the links between these two structures, rarely studied together. …”
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Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method by Yuhan Jia, Jianping Wu, Ming Xu

“…Inspired by deep learning methods with more complex model architectures and effective data mining capabilities, this paper introduces the deep belief network (DBN) and long short-term memory (LSTM) to predict urban traffic flow considering the impact of rainfall. …”
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Using Factor Decomposition Machine Learning Method to Music Recommendation by Dapeng Sun

“…The user data mining was introduced into the model construction process, and the user behavior was decomposed by analyzing various influencing factors through the factorization machine (FM) learning method. …”
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Applications of Matrices to a Matroidal Structure of Rough Sets by Jingqian Wang, William Zhu

“…They are widely used in attribute reduction in data mining. There are many optimization issues in attribute reduction. …”
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Consideration of the Effects of Air Temperature on Structural Health Monitoring through Traffic Light-Based Decision-Making Tools by Philippe Guéguen, Alexandru Tiganescu

“…In this study, after analyzing the correlation of resonance frequency values with temperature for one building, we use the data mining method called “association rule learning” (ARL) to predict future frequencies according to temperature measurements. …”
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Customer Churn Modeling via the Grey Wolf Optimizer and Ensemble Neural Networks by Maryam Rahmaty, Amir Daneshvar, Fariba Salahi, Maryam Ebrahimi, Adel Pourghader Chobar

“…In recent years, many methods have been developed including data mining for predicting the customer churn and manners that customers are likely to behave in the future and therefore, taking action early to prevent their leaving. …”
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Intelligent Integration Algorithm of National Traditional Sports Culture Resources Based on Big Data by Xian-Bin Ai

“…Then, the query set of big data is constructed based on the results of weakly associated data mining, and the query of weakly associated data is completed through data repair. …”
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Implementasi Algoritma Naïve Bayes untuk Mendeteksi Resiko Tinggi Diabetes Melitus Pada Ibu Hamil (Studi Kasus : Puskesmas Kabupaten Malang) by Fatmawati Fatmawati, Satrio Agung Wicaksono, Satrio Hadi Wijoyo

“…Oleh karena itu, Perhatian dan penanganan menyeluruh bagi ibu hamil yang mengalami diabetes. Data mining dapat digunakan untuk deteksi resiko tinggi diabetus mellitus pada ibu hamil. …”
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Passenger Flow Path Prediction Based on Urban Rail Transit AFC Data: An Example of Chengdu, China by Yu Wang, Qixuan Qin, Jialiang Chen, Jiangbo Wang, Kai Liu

“…Passengers are divided into two categories based on their travel habits and data mining models, and multinomial logit (MNL) models are separately used to predict their destinations. …”
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Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies by Paul Bosch, Mauricio Herrera, Julio López, Sebastián Maldonado

“…We have developed a new methodology for examining and extracting patterns from brain electric activity by using data mining and machine learning techniques. Data was collected from experiments focused on the study of cognitive processes that might evoke different specific strategies in the resolution of math problems. …”
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Realms of aesthetic experience of classical Chinese gardens based on semantic analysis of online tourism reviews by Mengyuan Xu, Yuanyu Wang, Haitao Yu

“…The novel mixed approach of big data mining and the modeling of aesthetic realms enriched the knowledge of aesthetic experience and provided a new research paradigm for the experiences of cultural heritage by tourists.…”
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Using Clustering Analysis and Association Rule Technology in Cross-Marketing by Yang Cheng, Ming Cheng, Tao Pang, Sizhen Liu

“…The experimental results show that this method can quickly mine the effective information in complex data sets, improve the accuracy and efficiency of data mining, and occupy less memory consumption, which has good theoretical value and application value.…”
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