Data Mining with Computational Intelligence
Springer Berlin (Verlag)
978-3-642-06387-9 (ISBN)
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 in application areas such as bioinformatics, banking, retail, and many others.
Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptron neural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications. They focus on three main data mining tasks: data dimensionality reduction, classification, and rule extraction.
The book is targeted at researchers in both academia and industry, while graduate students and developers of data mining systems will also profit from the detailed algorithmic descriptions.
Lipo Wang's research interests are in computational intelligence, i.e., neural networks, evolutionary computation, and fuzzy systems, with applications to multimedia, bioinformatics, and data mining. He has published over 50 journal publications, 14 books (authored/edited), 70 conference presentations, and 7 book chapters. He holds a U.S. patent on a neural network for image sequence processing. He is an Associate Editor / Editorial Board member for 7 international journals, including IEEE Transactions on Neural Networks, IEEE Transactions on Evolutionary Computation. He is Chair of the Emergent Technologies Technical Committee, IEEE Neural Networks Society. He is also the Founding Chair of both IEEE Engineering in Medicine and Biology Chapter Singapore and IEEE Neural Networks Chapter Singapore. Dr. Wang has been on the Governing Board of the Asia-Pacific Neural Network Assembly since 1999 and served as its President in 2002/2003. He will be Technical Program Co-Chair for the 2006 IEEE International Joint Conference on Neural Networks. He served as General Chair for 4 international conferences and as member of steering / advisory / organizing / program committees of over 60 international conferences since 1998. More details may be found at his home page (http://www.ntu.edu.sg/home/elpwang/).
MLP Neural Networks for Time-Series Prediction and Classification.- Fuzzy Neural Networks for Bioinformatics.- An Improved RBF Neural Network Classifier.- Attribute Importance Ranking for Data Dimensionality Reduction.- Genetic Algorithms for Class-Dependent Feature Selection.- Rule Extraction from RBF Neural Networks.- A Hybrid Neural Network For Protein Secondary Structure Prediction.- Support Vector Machines for Prediction.- Rule Extraction from Support Vector Machines.
| Erscheint lt. Verlag | 12.2.2010 |
|---|---|
| Reihe/Serie | Advanced Information and Knowledge Processing |
| Zusatzinfo | XI, 276 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 439 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | algorithms • Artificial Intelligence • Bioinformatics • classification • Computational Intelligence • Data Classification • Data Clustering • Data Dimensionality Reduction • Data Mining • fuzzy • Genetic algorithms • Intelligence • learning • Neural networks • Rule Extraction • Support Vector Machine • Support Vector Machines |
| ISBN-10 | 3-642-06387-X / 364206387X |
| ISBN-13 | 978-3-642-06387-9 / 9783642063879 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
