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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

Suicide in New Zealand by Said Shahtahmasebi

“…One method of improving our objective understanding of suicide would be to use data mining techniques in order to build life event histories on all deaths due to suicide. …”
Get full text

The Optimal Machine Learning Model for the Precise Prediction of HighPerformance Concrete Strength Property by Yufeng Qian

“…The machine learning-based method, which relies on data mining, helps develop reliable and precise models to predict compressive strength. …”
Get full text

LONGPOP and IDS. Personal reflections on our collaboration With Kees Mandemakers. by Sam Jenkinson, Hideko Matsuo, Koen Matthijs

“…The three of us have known Kees for some time, but most closely since 2014, when we became formally engaged as project partners under the so-called LONGPOP-project, an EU funded Marie Curie grant, named Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers. …”
Get full text

Cost-Effective Resource Provisioning for Real-Time Workflow in Cloud by Lei Wu, Ran Ding, Zhaohong Jia, Xuejun Li

“…In the era of big data, mining and analysis of the enormous amount of data has been widely used to support decision-making. …”
Get full text

MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST by Phan Thành Huấn, Lê Hoài Bắc

“…Association rule mining, one of the most important and well-researched techniques of data mining. Mining frequent itemsets are one of the most fundamental and most time-consuming problems in association rule mining. …”
Get full text

Science Mapping the Knowledge Base on Student Retention in Higher Education: A Bibliometric Review of Research Papers from 1914-2022 by Murat Öztürk, Mehmet Şükrü Bellibaş, Bekir S. Gür, Enes Gök

“…Moreover, the term higher education is associated with dropout, completion, and academic performance, as well as new methodological terms like data mining, machine learning, learning analytics, and logistic regression. …”
Get full text