Research on E-Commerce Customer Feature Extraction Question Answering System Based on Artificial Intelligence Semantic Analysis by Wenbo Niu

“…In order to analyze e-commerce customer behavior and preference, a migration identification method of consumer behavior tendency is proposed. Data mining technology is adopted to mine social data in individual online we-media platforms and to mine individual personal attributes and preferences from their unconscious social language. …”
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A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network by Lei Si, Xin-hua Liu, Chao Tan, Zhong-bin Wang

“…Classification is an important theme in data mining. Rough sets and neural networks are the most common techniques applied in data mining problems. …”
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NOESIS: A Framework for Complex Network Data Analysis by Víctor Martínez, Fernando Berzal, Juan-Carlos Cubero

“…Network data mining has attracted a lot of attention since a large number of real-world problems have to deal with complex network data. …”
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Performance evaluation of different estimation methods for missing rainfall data

“…In order to study the effectiveness of various methods to estimate missing data, by seven classic statistical methods and M5 model tree as one of efficient data mining methods, hypothetical missing values were estimated using precipitation data from neighbor station. …”
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An Enhanced -Means Clustering Algorithm for Pattern Discovery in Healthcare Data by Ramzi A. Haraty, Mohamad Dimishkieh, Mehedi Masud

“…This paper studies data mining applications in healthcare. Mainly, we study k -means clustering algorithms on large datasets and present an enhancement to k -means clustering, which requires k or a lesser number of passes to a dataset. …”
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Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology by Chunhang Wang, Zhe An

“…This method has higher accuracy in storage data mining and retrieval for large information management systems and superior performance than the traditional method. …”
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The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures by Ajit Narayanan, Yi Chen, Shaoning Pang, Ban Tao

“…All bioinformatics and data mining analysis were performed on publicly available tools and Weka.…”
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Optimasi Algoritma Naive Bayes dengan Diskritisasi K-Means pada Diagnosis Penyakit Jantung by Nafa Fajriati, Budi Prasetiyo

“…Salah satu teknik data mining adalah klasifikasi. Naïve Bayes merupakan algoritma klasifikasi yang memiliki kemampuan yang cukup baik untuk membangun model pengklasifikasi. …”
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Data Analysis of College Students’ Mental Health Based on Clustering Analysis Algorithm by Yichen Chu, Xiaojian Yin

“…Finally, it expounds on the application of data mining in students’ psychological management system and summarizes and prospects the implementation of the system.…”
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CUDT: A CUDA Based Decision Tree Algorithm by Win-Tsung Lo, Yue-Shan Chang, Ruey-Kai Sheu, Chun-Chieh Chiu, Shyan-Ming Yuan

“…Decision tree is one of the famous classification methods in data mining. Many researches have been proposed, which were focusing on improving the performance of decision tree. …”
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Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University by Dani Wilian, Sriyanto Sriyanto

“…The research follows the Cross-Industry Standard Process for Data Mining (CRISP-DM), which includes stages of business understanding, data understanding, preparation, modeling, evaluation, and implementation. …”
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Integration and Fusion of Geologic Hazard Data under Deep Learning and Big Data Analysis Technology by Feng He, Chunxue Liu, Hongjiang Liu

“…To discuss the analysis and evaluation of highway landslides, the application of data mining methods combined with deep learning frameworks in geologic hazard evaluation and monitoring is explored preliminarily. …”
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Decision Tree Algorithm for Visual Art Design in a Psychotherapy System for College Students by Han Wang, Xiang Ji, Dandan Zhang

“…This study is aimed at using data mining principles and methods to excavate the factors that lead to psychological problems of college students, to purposefully carry out psychological interventions, use visual art design methods to promote college students’ psychological health treatment, and build a perfect system of college students’ psychological treatment. …”
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Predicting the structure and stability of oxide nanoscrolls from dichalcogenide precursors by Adway Gupta, Arunima K. Singh

“…In this work, we employ data mining, first-principles simulations, and physio-mechanical models to theoretically examine the potential of other dichalcogenide precursors to form oxide nanoscrolls. …”
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Credit Card Fraud Detection through Parenclitic Network Analysis by Massimiliano Zanin, Miguel Romance, Santiago Moral, Regino Criado

“…In this paper we present a first hybrid data mining/complex network classification algorithm, able to detect illegal instances in a real card transaction data set. …”
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Crime Prediction Using Decision Tree (J48) Classification Algorithm. by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Danison Taremwa

“…Criminology is one of the most important fields for applying data mining. Criminology is a process that aims to identify crime characteristics. …”
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Editorial for Vol.32, No.3 by Alan Jović

“…Journal of Computing and Information Technology brings four papers from the areas of power load forecasting, fault diagnosis, recommender systems, and biomedical data mining.…”
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Penerapan asas kesukarelaan dalam konseling kasus pacaran beresiko pada remaja by I Gst. Agung Diah Rusdayanti, Kadek Suranata, I Ketut Dharsana

“…The research data is sourced from data mining techniques with a literature review. The result of this literature review is that the implementation of the principle of volunteerism in counseling takes place based on volunteerism and without being forced both by the counselor and the counselee. …”
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Development and Supervision of Robo-Advisors under Digital Financial Inclusion in Complex Systems by Wensheng Dai

“…First, the traditional K-means algorithm is used to select the initial clustering center, to improve the noise and outlier processing capabilities, and to build a data mining system based on the improved algorithm. …”
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Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data by Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen

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