Results 21 to 30 of about 9,792 (165)
A case study for application of fuzzy inference and data mining in structural health monitoring [PDF]
In this study, a system for monitoring the structural health of bridge deck and predicting various possible damages to this section was designed based on measuring the temperature and humidity with the use of wireless sensor networks, and then it was ...
S. Shoorabi Sani
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There is a real increasing in the generating of data from different sources. Data mining (DM) is a useful method to elicit valuable information. Association rule mining (ARM) can assist in finding patterns and trends in big data.
Hind R. Ibraheem , Murtadha M. Hamad
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SPK Pemilihan Calon Pendonor Darah Potensial dengan Algoritma C4.5 dan Fuzzy Tahani
Penelitian ini bertujuan untuk membangun sebuah aplikasi Sistem Penunjang Keputusan (SPK) yang dapat menghasilkan daftar calon pendonor darah potensial berdasarkan hasil penambangan data pada database transaksi pelayanan donor darah dengan menggunakan ...
Mahmud Yunus +2 more
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Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering
In view of the inaccuracy of rock movement observation data and the inaccuracy of mining subsidence prediction parameters, a prediction model of mining subsidence parameters based on fuzzy clustering is proposed.
Fei Cheng +8 more
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Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules
In real-world applications, transactions are typically represented by quantitative data. Thus, fuzzy association rule mining algorithms have been proposed to handle these quantitative transactions.
Chun-Hao Chen +3 more
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Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules.
Zohreh Anari +2 more
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An Experiment with Fuzzy Sets in Data Mining [PDF]
Fuzzy modeling provides a very useful tool to deal with human vagueness in describing scales of value. This study examines the relative error in decision tree models applied to a real set of credit card data used in the literature, comparing crisp models with fuzzy decision trees as applied by See5, and as obtained by categorization of data. The impact
David L. Olson +2 more
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Research on real-time network data mining technology for big data
The data distribution in big data environment is very different, and it is difficult to mine the data because of the strong interference of redundant data and frequent items.
Jing Hu, Xianbin Xu
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Intuitionistic and Interval-Valued Fuzzy Set Representations for Data Mining
Data mining refers to a variety of techniques in the fields of databases, machine learning and pattern recognition. The intent is to obtain useful patterns and associations from a large collection of data.
Fred Petry, Ronald Yager
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An Efficient Fuzzy Clustering Algorithm for Mining User Session Clusters on Web Log Data
Data mining is extremely vital to get important information from the web. Additionally, web usage mining (WUM) is essential for companies. WUM permits organizations to create rich information related to the eventual fate of their commercial capacity.
Moksud Alam Mallik +1 more
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