CUSTOMER SEGMENTATION AND CLASSIFICATION FROM BLOGS BY USING DATA MINING: AN EXAMPLE OF VOIP PHONE

DOI10.1080/01969720903152593zbMath1303.91140OpenAlexW1995819718MaRDI QIDQ2934532

Chun-Chin Hsu, Mu-Chen Chen, Longsheng Chen

Publication date: 15 December 2014

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01969720903152593

zbMATH Keywords

data miningsupport vector machinessparse dataself-organizing mapback-propagation neural networkblog

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Neural networks for/in biological studies, artificial life and related topics (92B20)

Uses Software

• LIBSVM
• C4.5

Cites Work

• Unnamed Item
• A flexible multi-layer self-organizing map for generic processing of tree-structured data
• Operations research and data mining
• A short walk in the blogistan
• DATA CLUSTERING USING A REORGANIZING NEURAL NETWORK
• AUTOMATIC MACHINE LEARNING OF KEYPHRASE EXTRACTION FROM SHORT HTML DOCUMENTS WRITTEN IN HEBREW
• THE USE OF DATA MINING TO PREDICT WEB PERFORMANCE
• DESIGN OF DECISION TREE VIA KERNELIZED HIERARCHICAL CLUSTERING FOR MULTICLASS SUPPORT VECTOR MACHINES
• Self-organizing neural networks. Recent advances and applications

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