The Prediction Algorithm and Characteristics Analysis of Kuroshio Sea Surface Temperature Anomalies by Dawei Shi, Chao Li, Zhu Zhu, Runqing Lv, Shengjie Chen, Yunfeng Zhu

“…Based on 130 climate signal indexes provided by National Climate Center of China, this paper established a decision tree diagnostic prediction model for Spring Kuroshio Sea Surface Temperature (SST) from 1961 to 2015 (65 years) by using Chi-Squared Automatic Interaction Detector (CHAID) algorithm in data mining and obtained five rule sets to determine whether Spring Kuroshio SST is high or not. …”
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Optimization of Human Resource File Information Decision Support System Based on Cloud Computing by Chunling Cai, Chuanyi Chen

“…Therefore, it is very necessary to establish human resources data pool and carry out data mining based on it, so as to extract high quality and high quantity information to provide support for managers’ decision-making. …”
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Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network by Hang Yang, Simon Fong, Raymond Wong, Guangmin Sun

“…Many classification models have been studied in the data-mining research community. However, they all assume that the input data are stationary and bounded in size, so that resampling techniques and postadjustment by measuring the classification cost can be applied. …”
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Noninvasive Load Identification Method Based on Feature Similarity by Hongyan Li, Xianfeng Ding, Dan Qu, Jiang Lin

“…Finally, the device identification and calculation of power consumption are carried out for the part of data in annex 2 of question A in the 6th “teddy cup” data mining challenge competition.…”
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Global Optimization Ensemble Model for Classification Methods by Hina Anwar, Usman Qamar, Abdul Wahab Muzaffar Qureshi

“…Supervised learning is the process of data mining for deducing rules from training datasets. …”
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Breast Cancer Prediction Using the Affinity Propagation Clustering with Regard to the Weights of Variables by Sina Dami, Zeinab Hatamchuri

“…By using data mining tools in the field of medical diagnosis, some limitations such as the high cost of some tests or their timing will be addressed. …”
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An Improved Animal Migration Optimization Algorithm for Clustering Analysis by Mingzhi Ma, Qifang Luo, Yongquan Zhou, Xin Chen, Liangliang Li

“…Clustering is a popular data analysis and data mining technique and it is used in many fields. …”
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The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis by Omer F. Akmese, Gul Dogan, Hakan Kor, Hasan Erbay, Emre Demir

“…Retrospective clinical records were analyzed with predictive data mining models. The predictive success of the models obtained by various machine learning algorithms was compared. …”
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An Efficient Feature Subset Selection Algorithm for Classification of Multidimensional Dataset by Senthilkumar Devaraj, S. Paulraj

“…Multidimensional medical data classification has recently received increased attention by researchers working on machine learning and data mining. In multidimensional dataset (MDD) each instance is associated with multiple class values. …”
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Exploration of a Capability-Focused Aerospace System of Systems Architecture Alternative with Bilayer Design Space, Based on RST-SOM Algorithmic Methods by Zhifei Li, Dongliang Qin, Feng Yang

“…Finally, the feasibility of the foregoing approach was demonstrated with an illustrative example. With the data mining RST (rough sets theory) and SOM (self-organized mapping) techniques, the alternative to the aerospace system of systems architecture was mapping from P-space (performance space) to C-space (configuration space), and then from C-space to D-space (design space), respectively. …”
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An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

“…This research paper proposes a novel data mining system that combines the ensemble feature selection method and machine learning classifier for the effective identification of COVID-19 infection. …”
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Monitoring Changes in Clustering Solutions: A Review of Models and Applications by Muhammad Atif, Muhammad Shafiq, Muhammad Farooq, Gohar Ayub, Friedrich Leisch, Muhammad Ilyas

“…In contrast to supervised learning models, clustering is a data mining technique that retrieves the hidden pattern in the input dataset. …”
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Rolling Element Bearing Fault Recognition Approach Based on Fuzzy Clustering Bispectrum Estimation by W.Y. Liu, J.G. Han

“…This method combines the basic Higher-order spectrum (HOS) theory and fuzzy clustering method in data mining area. In the first step, all the bispectrum estimation results of the training samples and test samples are turned into binary feature images. …”
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Innovative Research on Teaching Method of Taekwondo in College Elective Courses under the Background of Big Data by Yahui Chang, Su Meng, Hong Chao

“…Experimental research shows that compared with traditional Taekwondo teaching methods, the performance of university Taekwondo teaching based on data mining (D M I) in the context of B D A is more than 20% higher, which fully reflects its feasibility and the innovation of traditional Taekwondo teaching methods needs to be solved urgently.…”
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Credit Risk Prediction Using Fuzzy Immune Learning by Ehsan Kamalloo, Mohammad Saniee Abadeh

“…Credit risk prediction has been widely studied in the field of data mining as a classification problem. This paper proposes a new classifier using immune principles and fuzzy rules to predict quality factors of individuals in banks. …”
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Negative Correlation Learning for Customer Churn Prediction: A Comparison Study by Ali Rodan, Ayham Fayyoumi, Hossam Faris, Jamal Alsakran, Omar Al-Kadi

“…Experiments results confirm that NCL based MLP ensemble can achieve better generalization performance (high churn rate) compared with ensemble of MLP without NCL (flat ensemble) and other common data mining techniques used for churn analysis.…”
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Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer by Neha Sharma, Hari Om

“…The objective of this research is to design a data mining model using probabilistic neural network and general regression neural network (PNN/GRNN) for early detection and prevention of oral malignancy. …”
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Combined DFT and Fuzzy Based Faulty Phase Selection and Classification in a Series Compensated Transmission Line by Praveen Kumar Mishra, Anamika Yadav

“…The proposed CDFTF-based scheme is less complex and is better than other data mining techniques which require huge training and testing time. …”
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Mining Outlier Data in Mobile Internet-Based Large Real-Time Databases by Xin Liu, Yanju Zhou, Xiaohong Chen

“…Wavelet transform threshold denoising is combined with signal denoising to analyze data offset, to correct formed detection filter model, and to realize outlier data mining. The simulation suggests that the method detects the characteristic outlier data feature response distribution, reduces response time, iteration frequency, and mining error rate, improves mining adaptation and coverage, and shows good mining outcomes.…”
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The Optimization of the Location of the Cargo in Three-Dimension Shelf: Employing the FP-Tree and the Artificial Fish Swarm Algorithms by Shuiwang Zhang, Linping Fu, Rui Wang, Rong Chen

“…Furthermore, the frequency and the weight of product items are taken into account to ensure the local stability of the shelf during data mining. Thirdly, another method of the location-allocation is obtained with the objectives of the energy consumption and the overall shelf stability along with the frequent items stored nearby that is conducted by the Artificial Fish Swarm Algorithm. …”
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