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Home > Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part I > A New Cell-Based Clustering Method for High-Dimensional Data Mining Applications
Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part I |
Rajiv Khosla
Springer Berlin Heidelberg
Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part I
A New Cell-Based Clustering Method for High-Dimensional Data Mining Applications
Authors

Jae-Woo Chang

ARI Id

1664715723585_2885678

Access

Not Available Free

Pages

391-397

DOI

10.1007/11552413_56

Chapter URL

https://rd.springer.com/chapter/10.1007/11552413_56

Table of Contents of Book
Showing 1 to 20 of 187 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Multi-branch Neural Networks and Its Application to Stock Price Prediction
Takashi Yamashita; Kotaro Hirasawa; Jinglu Hu
1-7
An Intelligent Utilization of Neural Networks for Improving the Traditional Technical Analysis in the Stock Markets
Norio Baba; Toshinori Nomura
8-14
Minority Game and the Wealth Distribution in the Artificial Market
Mieko Tanaka-Yamawaki
15-20
A R/S Approach to Trends Breaks Detection
Marina Resta
21-26
Applying Extending Classifier System to Develop an Option-Operation Suggestion Model of Intraday Trading – An Example of Taiwan Index Option
An-Pin Chen; Yi-Chang Chen; Wen-Chuan Tseng
27-33
Applying Two-Stage XCS Model on Global Overnight Effect for Local Stock Prediction
An-Pin Chen; Yi-Chang Chen; Yu-Hua Huang
34-40
Automatically Assembled Shape Generation Using Genetic Algorithm in Axiomatic Design
Jinpyoung Jung; Kang-Soo Lee; Nam P. Suh
41-47
Network Based Engineering Design Education
Kang-Soo Lee; Sang Hun Lee
48-55
Representative Term Based Feature Selection Method for SVM Based Document Classification
YunHee Kang
56-61
The Design and Implementation of an Active Peer Agent Providing Personalized User Interface
Kwangsu Cho; Sung-il Kim; Sung-Hyun Yun
62-68
Using Bayesian Networks for Modeling Students’ Learning Bugs and Sub-skills
Shu-Chuan Shih; Bor-Chen Kuo
69-75
A Case-Based Reasoning Approach to Formulating University Timetables Using Genetic Algorithms
Alicia Grech; Julie Main
76-83
A Computational Korean Mental Lexicon Model for a Cognitive-Neuro Scientific System
Heui Seok Lim
84-89
An Application of Information Retrieval Technique to Automated Code Classification
Heui Seok Lim; Seong Hoon Lee
90-96
A Framework for Interoperability in an Enterprise
Antonio Caforio; Angelo Corallo; Danila Marco
97-103
Detecting is-a and part-of Relations in Heterogeneous Data Flow
Paolo Ceravolo; Daniel Rocacher
104-111
OntoExtractor: A Fuzzy-Based Approach in Clustering Semi-structured Data Sources and Metadata Generation
Zhan Cui; Ernesto Damiani; Marcello Leida; Marco Viviani
112-118
Generate Context Metadata Based on Biometric System
Antonia Azzini; Paolo Ceravolo; Ernesto Damiani; Cristiano Fugazza; Salvatore Reale; Massimiliano Torregiani
119-126
Complex Association Rules for XML Documents
Carlo Combi; Barbara Oliboni; Rosalba Rossato
127-133
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 187 entries
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