Treatment of Cancer Gene Changes in Chronic Myeloid Leukemia by Big Data Analysis Platform-Based Dasatinib by Linlin Song, Qi Li, Hui Shi, Pengxia Zhang

“…Based on data mining, an innovative big data analysis platform was utilized to discuss the treatment of cancer in chronic myeloid leukemia (CML) by dasatinib, aiming to offer help to the diagnosis and treatment of cancer. …”
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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…At present, the research on the efficiency analysis of smart investment, due to the improper selection of algorithm models or the lack of deep data mining, leads to the analysis of the investment efficiency of smart investment products is inconsistent with or even deviated from the actual situation. …”
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Anomalous Node Detection in Blockchain Networks Based on Graph Neural Networks by Ze Chang, Yunfei Cai, Xiao Fan Liu, Zhenping Xie, Yuan Liu, Qianyi Zhan

“…This issue presents significant challenges for traditional graph data mining techniques. In this paper, we propose a novel graph neural network method to overcome class imbalance issues by improving the Graph Attention Network (GAT) and incorporating ensemble learning concepts. …”
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Salienz, Narrativität und die Rolle musikalischer Parameter bei der Analyse musikalischer Spannung von post-tonaler Orchestermusik by Gerhard Lock

“…Im zweiten Teil werden das empirische Experiment-Design (Sample N=26) für das vom Autor entwickelte neue kognitive Scheibenmodell COSM (Cognitive Octagonal Slice Model), die Visualisierung und Analyse der COSM-Daten (Data Mining) sowie einige Analyse-Ergebnisse bezüglich eines möglichen Zusammenhangs zwischen Tendenzen musikalischer Parameter und musikalischer Spannung diskutiert. …”
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Digital Transformation in the Concept of Internal Banking Risk Management by D. V. Pasinitsky

“…Based on the study, the author proposes to intensify the introduction of digital technologies in banking practice based on: artificial intelligence, machine learning, data mining.…”
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…Considering such voluminous quantities, the collected data may contain a substantial number of outliers which must be detected before utilizing them for data mining or computations. Therefore, outlier detection techniques such as Mahalanobis distance computation have gained significant popularity recently. …”
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Analysis of the Impact of Big Data on E-Commerce in Cloud Computing Environment by Rongrui Yu, Chunqiong Wu, Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…Secondly, considering the large amount of data in the e-commerce system and the complex calculation of the data mining algorithm, this paper uses MapReduce to realize the parallelization of the data mining algorithm and builds a Hadoop-based commodity recommendation subsystem on this basis. …”
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Efisiensi Big Data Menggunakan Improved Nearest Neighbor by Aditya Hari Bawono, Ahmad Afif Supianto

“… Klasifikasi adalah salah satu metode penting dalam kajian data mining. Salah satu metode klasifikasi yang populer dan mendasar adalah k-nearest neighbor (kNN). …”
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CONSTRUCTION PRINCIPLES OF COMPUTING UNITS FOR INTELLECTUAL DATA PROCESSING by M. M. Tatur

“…A high level architecture is shown, where Data Mining algorithms are considered as functional elements and a general or specialized co-processor as an accelerator for computer performance. …”
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An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules by Armand, André Totohasina, Daniel Rajaonasy Feno

“…In the context of binary data mining, for unifying view on probabilistic quality measures of association rules, Totohasina’s theory of normalization of quality measures of association rules primarily based on affine homeomorphism presents some drawbacks. …”
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Knowledge management by M. Tayfun Gülle

“…The book includes detailed information concerning knowledge and knowledge management with current resources in seven chapters uder the titles of “organizational effects of knowlegde management, knowledge management systems, new knowledge discovery: data mining, computer as an information sharing platform, technologies as knowledge management: artificial intelligence and knowledge based systems, future of knowlegde management”. …”
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Power Law Distribution in Electric Power Data by Guannan Wang, Chunyu Deng, Yue Zhao, Yaqin Zheng

“…The explorative analysis plays an important role in the process of data mining. The non-normally distributed data in the electric power data was analyzed. …”
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Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups by A. N. Kazinets

“…The article discusses the use of data mining methods to predict the effectiveness of employment of socially vulnerable categories of the population. …”
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Markers of Anemia in Children with Type 1 Diabetes by Ewa Rusak, Anna Rotarska-Mizera, Piotr Adamczyk, Bogdan Mazur, Joanna Polanska, Agata Chobot

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An improved clustering algorithm based on local density by Xiaohui GUAN, Yaguan QIAN, Xinxin SUN

“…Clustering analysis is an important and challenging research field in machine learning and data mining.A fast and effective clustering algorithm based on the idea of local density was proposed by Alex.But the number of clusters and cluster centers in the algorithm were determined by hand.Therefore,the candidates of cluster centers based on local density were firstly selected and then density connectivity method was used to optimize the candidates.The classes of samples are the same as the nearest center with bigger local density.Experiments show that the proposed method has a better cluster efficiency and can handle the problems of uncertain cluster number and cluster centers.…”
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Research on Heterogeneous Data Integration in Electric Power Enterprise by Degang Zhang, Yi Wu, Shaoquan Zhang, Qingjun Peng

“…To provide a common data service platform for the massive data mining，analysis，interaction and sharing among different systems，a data exchange and sharing platform of power enterprise was described to provide standardization of data communication format，data storage and related service interfaces，and the enterprise achieves heterogeneous data exchange and sharing by this platform within the enterprise. …”
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Hadoop bottleneck detection algorithm based on information gain by Zaole TAN, Zhifeng HAO, Ruichu CAI, Xiaojun XIAO, Yu LU

“…Hadoop has become a major platform for big data storage and large data mining nowadays.Although Hadoop platform achieves high performance parallel computing through a distributed cluster of machines,the bottlenecks will inevitably appear on a machine when cluster load increases,because the cluster is composed of inexpensive host.Aiming at this problem,a bottleneck detection algorithms based on information gain was proposed.The algorithm detected cluster's bottlenecks resource by computing the information gain of each resource.The experiments show that the bottleneck detection algorithm is feasible.…”
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Research on a combining algorithm for harassing calls to identify by Yanqing WANG, Hanchen WANG

“…At present,people’s daily life has been seriously affected by an endless stream of harassing calls.To prevent the adverse social influence,a harassing calls recognition method based on the analysis of users’ feedbacks was proposed,which could make people look insight into the features of harassing calls by data mining.Also,the random forest algorithm was applied to identify the suspected harassment numbers.In this way,the recognition rate of harassment source has been enhanced greatly,and a comprehensive control in harassing calls can be achieved by integrating the portable interceptor.Simulation results also show its good performance.…”
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Key technology research and model validation of text classification system based on deep learning by Shaomin WANG, Di YANG, Hua REN

“…Text classification is very important to text data mining and value exploration.The traditional text classification system has problems of weak feature extraction ability and low classification accuracy.Compared with the traditional text classification technology,deep learning technology has many advantages such as high accuracy and effective feature extraction.Therefore,it is necessary to apply deep learning technology to the text classification system to solve the problems of the traditional text classification system.The traditional text classification system was analyzed,and the architecture and key technologies of text classification system based on deep learning were proposed.Finally,several classification models were verified and compared,including the traditional classification model,TextCNN and CNN+LSTM.…”
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A Distributed K-Means Segmentation Algorithm Applied to Lobesia botrana Recognition by José García, Christopher Pope, Francisco Altimiras

“…In this article, we propose a novel method for L. botrana recognition using image data mining based on clustering segmentation with descriptors which consider gray scale values and gradient in each segment. …”
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