Data Mining Withputational Intelligence

Intelligent Data Mining

✍ Da Ruan, Guoqing Chen, Etienne E. Kerre, Geert Wets 📂 Library 📅 2010 🏛 Springer 🌐 English

"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main obje

Swarm Intelligence in Data Mining

📁 Swarm Intelligence in Data Mining

✍ Dr. Crina Grosan, Ajith Abraham, Monica Chis (auth.), Ajith Abraham, Dr. Crina G 📂 Library 📅 2006 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amou

Swarm Intelligence in Data Mining

📁 Swarm Intelligence in Data Mining

✍ Dr. Crina Grosan, Ajith Abraham, Monica Chis (auth.), Ajith Abraham, Dr. Crina G 📂 Library 📅 2006 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amou

Data Mining and Computational Intelligen

📁 Data Mining and Computational Intelligence

✍ A. Klose, A. Nürnberger, D. Nauck, R. Kruse (auth.), Dr. Abraham Kandel, Dr. Mar 📂 Library 📅 2001 🏛 Physica-Verlag Heidelberg 🌐 English

The volume offers a comprehensive coverage of the recent advances in the application of soft computing and fuzzy logic theory to data mining and knowledge discovery databases. It focuses on some of the hardest, and yet unsolved, issues of data mining like understandability of patterns, finding co

Computational Intelligence in Data Minin

📁 Computational Intelligence in Data Mining

✍ Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham 📂 Library 📅 2019 🏛 Springer Singapore 🌐 English

The International Conference on “Computational Intelligence in Data Mining” (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses

Data Mining with Computational Intellige

📁 Data Mining with Computational Intelligence

✍ Lipo Wang, Xiuju Fu 📂 Library 📅 2005 🏛 Springer 🌐 English

Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully