《AdvancesinIntelligentDataAnalysis智慧型數據分析進展》是2001年湖南文藝出版社出版社出版的圖書，作者是Frank Hoffmann。
基本介紹
- 書名：AdvancesinIntelligentDataAnalysis
- 作者：Frank Hoffmann
- ISBN：9783540425816
- 頁數：384
- 定價：110.00
- 出版社：湖南文藝出版社
- 出版時間：2001-10
- 裝幀：平裝
內容簡介,圖書目錄,
內容簡介
This book constitutes the refereed proceedings of the 4th International Conference on Intelligent Data Analysis, IDA 2001, held in Cascais, Portugal, in September 2001.The 37 revised full papers presented were carefully reviewed and selected from a total of almost 150 submissions. All current aspects of this interdisciplinary field are addressed; the areas covered include statistics, artificial intelligence, neural networks, machine learning, data mining, and interactive dynamic data visualization.
The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and Societies, LNCS has grown into the most comprehensive computer science research forum available.
The scope of LNCS, including its sub series LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes
- Proceedings (published in time for the respective conference)
- Post-proceedings (consisting of thoroughly revised final full papers)
-research monographs (which may be based on outstanding PhD work, research projects, technical reports, etc.)
The scope of LNCS, including its sub series LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes
- Proceedings (published in time for the respective conference)
- Post-proceedings (consisting of thoroughly revised final full papers)
-research monographs (which may be based on outstanding PhD work, research projects, technical reports, etc.)
圖書目錄
The Fourth International Symposium on Intelligent Data Analysis
Feature Characterizations in Scientific Datasets
Relevance Feedback in the Bayesian Network Retrieval Model：An Approach Based on：Terms Instantiation
Generating Fuzzy Summaries from Fuzzy Multidimensional Databases
A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets
Predicting Time-Varying Functions with Local Models
Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering-A Preliminary Study
Tagging with Small Training Corpora
A Search Engine for M0rphologiCally Complex Languages Errors Detection and Correction in Large Scale Data Collecting
A New Framework to Assess Association Rules
Communities of Interest
An Evaluaton of Grading Class ifiers
Finding Informative Rules Interval Sequences
Correlation-Based and Contextual Merit-Based Ensemble Feature Selection
Nonmetric Multidimensional Scaling with neural Networks
Functional Trees for Regression
Date Mining with Products of Trees
S Bagging: Fast Classifier Induction Method with Sub sampling and Bagging
RNA-Sequence-Structure Properties and Selenoysteine Insertion
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
……
Feature Characterizations in Scientific Datasets
Relevance Feedback in the Bayesian Network Retrieval Model：An Approach Based on：Terms Instantiation
Generating Fuzzy Summaries from Fuzzy Multidimensional Databases
A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets
Predicting Time-Varying Functions with Local Models
Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering-A Preliminary Study
Tagging with Small Training Corpora
A Search Engine for M0rphologiCally Complex Languages Errors Detection and Correction in Large Scale Data Collecting
A New Framework to Assess Association Rules
Communities of Interest
An Evaluaton of Grading Class ifiers
Finding Informative Rules Interval Sequences
Correlation-Based and Contextual Merit-Based Ensemble Feature Selection
Nonmetric Multidimensional Scaling with neural Networks
Functional Trees for Regression
Date Mining with Products of Trees
S Bagging: Fast Classifier Induction Method with Sub sampling and Bagging
RNA-Sequence-Structure Properties and Selenoysteine Insertion
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
……
