Výsledky vyhledávání - Clustering-mining methods and algorithms~

An incremental clustering scheme for data de-duplication Autor Costa, Gianni, Manco, Giuseppe, Ortale, Riccardo

“…We propose an incremental technique for discovering duplicates in large databases of textual sequences, i.e., syntactically different tuples, that refer to the…”
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Clustering Mining Method of College Students’ Physical Exercise Behavior Characteristics Based on Ant Colony Algorithm Autor Wang, Shuo

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A new clustering mining algorithm for multi-source imbalanced location data Autor Cai, Li, Wang, Haoyu, Jiang, Fang, Zhang, Yihan, Peng, Yuzhong

“… Existing studies mainly focus on fusion models and algorithms of data sets in the same domain, but few studies consider imbalanced data sets from different domains…”
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A clustering mining method for sports behavior characteristics of athletes based on the ant colony optimization Autor Yang, Dapeng, Wang, Junqi, He, Jingtang, Zhao, Cuiqing

“… The development process of this model includes fine-tuning ACO parameters, optimizing for features specific to sports data, and comparing it with traditional clustering algorithms, and similar…”
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Intelligent Recommendation Platform for Film and Television Based on Machine Learning Algorithms Autor Liu, Yue, Ren, Tiannan

“… Based on the analysis of film and television recommendation system and simulation experiments, this paper applies the clustering mining algorithm based on ML, combines the data set samples…”
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Clustering mining blocks in presence of geological uncertainty Autor Tabesh, Mohammad, Askari-Nasab, Hooman

“… Although there have been advances in exact methods to solve simpler instances of the mine production scheduling problem more complex instances of the model, especially when incorporating uncertainty…”
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Bi-k-bi clustering: mining large scale gene expression data using two-level biclustering Autor Carkacioğlu, Levent, Atalay, Rengül Cetin, Konu, Ozlen, Atalay, Volkan, Can, Tolga

“… However, most of these methods target single gene expression data sets and cannot handle all the available gene expression data in public databases in reasonable amount of time and space…”
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An Efficient Clustering Mining Algorithm for Indoor Moving Target Trajectory Based on the Improved AGNES Autor Wei-qing Huang, Chang Ding, Si-ye Wang, Shuang Hu

“…In recent years, with the rapid development of wireless communication technology including Wi-Fi, Bluetooth and RFID and other new types of positioning method, the indoor mobile object positioning has become possible…”
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A Research on the Compatibility Principles of Formulas for Spleen and Stomach Health from Thousand Golden Prescriptions Based on Clustering Mining and Association Rule Mining Technology Autor Guifen Chen, Yinghao Wang, Jiahui Qiu

“… It is much scientific and subjective to do research about correlation of herbs from the aspect of attribution of herbs such as character, taste and its function by using the method of clustering mining…”
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RETRACTION: An Improved Differential Bond Energy Algorithm With Fuzzy Merging Method to Improve the Document Clustering for Information Mining

“…RETRACTION: S. Tejasree and B. Chandra Mohan, “An Improved Differential Bond Energy Algorithm With Fuzzy Merging Method to Improve the Document Clustering for Information Mining…”
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Clustering perception mining of network protocol’s stealth attack behavior Autor Yan-jing HU, Qing-qi PEI

“… security.In view of the shortcomings of the existing protocol reverse methods in the analysis of protocol behavior,especially the stealth attack behavior mining,a novel instruction clustering perception mining…”
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Clustering perception mining of network protocol’s stealth attack behavior Autor Yan-jing HU, Qing-qi PEI

“… security.In view of the shortcomings of the existing protocol reverse methods in the analysis of protocol behavior,especially the stealth attack behavior mining,a novel instruction clustering perception mining…”
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A novel graph clustering method with a greedy heuristic search algorithm for mining protein complexes from dynamic and static PPI networks Autor Wang, Rongquan, Wang, Caixia, Liu, Guixia

“… algorithm for mining protein complexes using a new clustering model in dynamic and static weighted PPI networks (named MPC-C…”
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Improved K-Means Clustering Algorithm for Big Data Mining under Hadoop Parallel Framework Autor Lu, Weijia

“…In order to improve the accuracy and efficiency of the clustering mining algorithm, this paper focuses on the clustering mining algorithm for large data…”
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A STUDY OF COMPARING CONCEPTUAL AND PERFORMANCE OF K-MEANS AND FUZZY C MEANS ALGORITHMS (CLUSTERING METHOD OF DATA MINING) OF CONSUMER SEGMENTATION Autor Sinambela, Yunita, Herman, Sukrina, Takwim, Ahsani, Widianto, Septian Rheno

“… Based on mapping studies on data mining in support of consumer segmentation obtained two algorithms are often used for consumer segmentation include a K-Means Clustering and Fuzzy C-Means clustering…”
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Diversified Clustering Methods and Algorithms in Data Mining used for Document Representation Autor Jorvekar, Priti Prakash, Shardanand Prasad, Rajesh, Prasad, Jayashree Rajesh

“… In this paper will see various clustering methods, qualities of good clusters with various Algorithms used on ground of Data mining…”
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Intelligent Analysis of Logistics Information Based on Dynamic Network Data Autor Yang, Pengbo

“… This paper selects the data of a shipping logistics platform to realize the intelligent analysis experiment of logistics information based on cloud clustering mining…”
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Study of mining method of signal of coal and gas outburst Autor LI Shengpu, WANG Xiaohui

“… clustering algorithm, a mining method of signal of coal and gas outburst based on feature-based association mining algorithm was proposed…”
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GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder Autor Wang, Li, Zhang, Hao, Chang, Hao-Wu, Qin, Qing-Ming, Zhang, Bo-Rui, Li, Xue-Qing, Zhao, Tian-Heng, Zhang, Tian-Yue

“… However, there is little discussion on binary data clustering mining such as miRNA-targeted gene data…”
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Adaptive k-means clustering algorithm based on grid and domain centroid weight Autor Wei CAI, Guangyu SUN, Fei YANG, Bo YAO, Chuanxian LI

“… cost, efficiency, and scalability. The k-means clustering algorithm, a widely used data mining method, requires specifying the number of clusters, k, and relies on the selection of initial centroids which impacts computational…”
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