| 000 | 00998camuu22003017a 4500 | |
| 001 | 000045218574 | |
| 005 | 20060120092338 | |
| 008 | 050610s2005 gw a b 001 0 eng d | |
| 010 | ▼a 2005928948 | |
| 020 | ▼a 3540245227 (hd.bd.) | |
| 024 | 3 | ▼a 9783540245223 |
| 035 | ▼a (KERIS)REF000012407905 | |
| 040 | ▼a OHX ▼c OHX ▼d BAKER ▼d JHE ▼d DLC ▼d 211009 | |
| 042 | ▼a lccopycat | |
| 050 | 0 0 | ▼a QA76.9.D343 ▼b W37 2005 |
| 082 | 0 0 | ▼a 005.74 ▼2 22 |
| 090 | ▼a 005.74 ▼b W246d | |
| 100 | 1 | ▼a Wang, Lipo. |
| 245 | 1 0 | ▼a Data mining with computational intelligence / ▼c Lipo Wang, Xiuju Fu. |
| 260 | ▼a Berlin ; ▼a New York : ▼b Springer , ▼c c2005. | |
| 300 | ▼a xi, 276 p. : ▼b ill. ; ▼c 24 cm. | |
| 440 | 0 | ▼a Advanced information and knowledge processing |
| 504 | ▼a Includes bibliographical references (p. [253]-273) and index. | |
| 650 | 0 | ▼a Data mining. |
| 650 | 0 | ▼a Knowledge acquisition (Expert systems) |
| 700 | 1 | ▼a Fu, Xiuju. |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.74 W246d | 등록번호 121119922 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
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.
정보제공 :
목차
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.
정보제공 :