Data Mining: Multimedia, Soft Computing, and Bioinformatics

Technometrics ◽  
2004 ◽  
Vol 46 (3) ◽  
pp. 368-369 ◽  
Author(s):  
Madhuri S Mulekar
Keyword(s):  
2019 ◽  
Vol 2 (2) ◽  
pp. 86-90
Author(s):  
Bambang Lareno
Keyword(s):  

Teknik Data Mining dan juga dalam hal ini soft computing, semakin terkenal dalam beberapa tahun terakhir karena potensinya dalam memecahkan masalah-masalah perencanaan dalam keseharian seorang insinyur.  Hal itu membawa kepada perlu adanya perubahan budaya dalam cara bekerja dan berpikir. Metode penelitian yang dilakukan adalah dengan melakukan studi terhadap literatur yang berkaitan dengan teknik sipil, dan kemudian mengelompokkannya ke dalam bidang-bidang kerja teknik sipil. Dari analisis dapat disimpulkan pemimpin organisasi akan memainkan peran penting. Pendorong utama dalam menggunakan data mining dalam keteknikan adalah terkait dengan keberlanjutan, peningkatan proses, peningkatan mutu, penyelidikan persaingan pasar, kepastian biaya dan pengurangan biaya, kepastian kinerja dan sistem pendukung keputusan yang efektif dan efisien.Kata kunci: klasifikasi, prediksi, optimasi, estimasi.


Author(s):  
Nguyen Hoang Phuong ◽  

In this issue, we are featuring fifteen papers devoted to intelligent technologies, fuzzy systems and their applications as a special issue of the journal. The papers are selected from papers accepted and presented at the joint Third International Conference on Intelligent Technologies and Third Vietnam-Japan Symposium on Fuzzy Systems and Applications (InTech/VJFuzzy'2002) that was held in Hanoi, Vietnam on December 3-5, 2002. In InTech/VJFuzzy'2002, there was a wide spectrum of research topics on artificial intelligence, fuzzy systems, soft computing, and related fields such as"fuzzy logic", "fuzzy set theory", "fuzzy systems", "AI techniques", "Bayesian networks", "genetic algorithms", "neural networks", "knowledge discovery and data mining", "speech recognition", "soft computing in medicine", among others. More than 60 papers were accepted and presented by authors from many countries, including Australia, China, India, Korea, Germany, France, Thailand, Taiwan, Japan, Vietnam, and U.S.A. Fifteen papers that received outstanding recommendations from its reviews were selected in this special issue. The topics addressed by these selected papers include fuzzy rule systems, fuzzy inference methods, fuzzy and rough models, problem solving with equivalent transformation, genetic algorithms, reinforcement learning, non–monotonic reasoning, support vector machines, Hedge algebra, intelligent control, natural language understanding, self–organizing map learning, soft computing and data mining in medicine. As editors of this special issue, we would like to express our sincere gratitude to paper's authors in this issue. Our special thanks go to the anonymous referees for their excellent job, Ms. Kumiko Sato for her help in coordinating the publication of the issue, the Editorial Board of JACIII, especially Professor Kaoru Hirota for his great support and encouragement. Finally, we wish to thank Professors Hung T. Nguyen, Michio Sugeno and Pratit Santiprabhob for their help and contribution to InTech/VJFuzzy'2002. Without their support, the InTech/VJFuzzy'2002 and this issue would not be possible.


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