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394页 谢谢楼主Chapter I Discretization of Rational Data / Jonathan Mugan and Klaus Truemper .............................................. 1 Chapter II Vector DNF for Datasets Classifications: Application to the Financial Timing Decision Problem / Massimo Liquori and Andrea Scozzari ................................................................. 24 Chapter III Reducing a Class of Machine Learning Algorithms to Logical Commonsense Reasoning Operations / Xenia Naidenova ........................................................................................... 41 Chapter IV The Analysis of Service Quality Through Stated Preference Models and Rule-Based Classification / Giovanni Felici and Valerio Gatta ........................................................... 65 Chapter V Support Vector Machines for Business Applications / Brian C. Lovell and Christian J. Walder......... 82 Chapter VI Kernel Width Selection for SVM Classification: A Meta-Learning Approach / Shawkat Ali and Kate A. Smith ........................................................................................................... 101 Chapter VII Protein Folding Classification Through Multicategory Discrete SVM / Carlotta Orsenigo and Carlo Vercellis ............................................................................................... Chapter VIII Hierarchical Profiling, Scoring, and Applications in Bioinformatics / Li Liao .................................. 130 Chapter IX Hierarchical Clustering Using Evolutionary Algorithms / Monica Chiş ............................................ 146 Chapter X Exploratory Time Series Data Mining by Genetic Clustering / T. Warren Liao................................. 157 Chapter XI Development of Control Signatures with a Hybrid Data Mining and Genetic Algorithm / Alex Burns, Shital Shah, and Andrew Kusiak ..................................................................................... 179 Chapter XII Bayesian Belief Networks for Data Cleaning / Enrico Fagiuoli, Sara Omerino, and Fabio Stella.................................................................................................................................. 204 Chapter XIII A Comparison of Revision Schemes for Cleaning Labeling Noise /Chuck P. Lam and David G. Stork ............................................................................................................................. 220 Chapter XIV Improving Web Clickstream Analysis: Markov Chains Models and Genmax Algorithms / Paolo Baldini and Paolo Giudici........................................................................................................ 233 Chapter XV Advanced Data Mining and Visualization Techniques with Probabilistic Principal Surfaces: Applications to Astronomy and Genetics / Antonino Staiano, Lara De Vinco, Giuseppe Longo, and Roberto Tagliaferri .......................................................................................... 244 Chapter XVI Spatial Navigation Assistance System for Large Virtual Environments: The Data Mining Approach / Mehmed Kantardzic, Pedram Sadeghian, and Walaa M. Sheta .......... 265 Chapter XVII Using Grids for Distributed Knowledge Discovery / Antonio Congiusta, Domenico Talia, and Paolo Trunfio ............................................................................................................................... 284 Chapter XVIII Fuzzy Miner: Extracting Fuzzy Rules from Numerical Patterns / Nikos Pelekis, Babis Theodoulidis, Ioannis Kopanakis, and Yannis Theodoridis.............................. 299 Chapter XIX Routing Attribute Data Mining Based on Rough Set Theory / Yanbing Liu, Menghao Wang, and Jong Tang..................................................................................................................................... 322 Compilation of References .............................................................................................................. 338 About the Contributors ................................................................................................................... 361 Index................................................................................................................................................... 368 |
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你打算学位论文里有创新点吗?想发表有新idea的SCI文章吗?
无论你是什么学科,电子科学,工程技术,社会科学,金融经济,还是医疗药品,你搞些数据挖掘技术进去,保证时髦又新颖。。。。。。
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