The dual anti-inflammatory and anticoagulant effects of Jianpi Huashi Tongluo prescription on Rheumatoid Arthritis through inhibiting the activation of the PI3K/AKT signaling pathw... by Fanfan Wang, Fanfan Wang, Jian Liu

“…Firstly, through retrospective clinical data mining, combined with the Apriori algorithm and random walk models, an in-depth analysis was conducted to explore the potential associations between XFC treatment and improvements in clinical inflammatory and coagulation markers among RA patients. …”
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Analisa Sentimen Financial Technology Peer To Peer Lending Pada Aplikasi Koinworks by Rousyati Rousyati, Windu Gata, Dany Pratmanto, Nia Kusuma Wardhani

“…Ulasan yang terdapat pada kolom komentar Google Play dapat dimanfaatkan sebagai sumber data yang dapat di oleh dengan data mining. Penelitian ini akan menganalisis mengenai permasalahan yang berkaitan dengan beberapa ulasan tentang  Fintech P2PL  apikasi Koinworks pada ulasan di Google Play Store serta menentukan hasil akurasi analisis sentimen yang dihasilkan algoritma Decision Tree, K-Nearest Neigbor dan Support Vector Machine. …”
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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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Double array system identification research based on LSTM neural network by Chunhua Gao, Mingyang Wang, Yifei Sima, Zihan Yuan

“…This indicates that the algorithm can accurately reproduce the characteristics of the shaking table itself and shows good performance in time series prediction and data mining. References for earthquake simulation shaking array system experiments are provided.…”
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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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Kernel of Internet of Things:Internet of Data by Qi ZHANG, Hao YANG, Q.S.Quek Tony, Shi JIN, Hong-bo ZHU

“…The Internet of Things (IoT) is a collection of devices,sensors and computing capabilities that enable intelligent command and control across vast regions in an automated manner,where data is generated by large-scaled devices and often sent to a centralized system for processing.Therefore,for IoT scenarios,it is important to have an efficient way to collect data at low power,transmit them in very short time,process them in close to real time,and send back the results of this processing.The main data problems in IoT are investigated,and the data entities are organized to form a network,coined as the Internet of Data (IoD),which has huge potential in data-intensive applications.To better understand IoD,the basic concept and main challenges of IoD are also stated.Meanwhile,to provide more detailed understanding,some feasible techniques that can be used in IoD are also explored,like big data,data mining and artificial intelligence,which are all hot research areas and have been studied extensively in recent years.…”
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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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Análise de dados aplicada às Cidades Inteligentes: reflexões sobre a Região Nordeste do Brasil by Jane Roberta de Assis Barbosa, Ignacio Sánchez-Gendriz

“…The association of thematic maps with data mining methods and a critical theoretical perspective proved to be useful to understand the territorial dynamics of smart cities. …”
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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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Research on architecture design and core strategy of intelligent recommendation system for electronic literature resources in colleges and universities by HU Guoqiang

“…On these problems, a university electronic literature resource intelligent recommendation system was designed, which includes a data collection layer, a data mining layer, a recommendation brain layer, an application service layer, an information standardization system, and a security and operation maintenance system. …”
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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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Moment Conditions Selection Based on Adaptive Penalized Empirical Likelihood by Yunquan Song

“…Empirical likelihood is a very popular method and has been widely used in the fields of artificial intelligence (AI) and data mining as tablets and mobile application and social media dominate the technology landscape. …”
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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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