NDLI: The research and realization of decision trees based on credibility

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A distributed dynamic model of mobile sensor network

A multi-agent information fusion model for ship collision avoidance

A new collocation extraction method combining multiple association measures

A new measure of classifier diversity in multiple classifier system

Classifier ensemble based-on bi-coded chromosome genetic algorithm for automatic image annotation

Dim small targets fusion detection in infrared image

Energy-efficient hierarchical topology control in wireless sensor networks using time slots

Ensemble classifier and its application to image-based MICR character recognition

Face and ear fusion recognition based on multi-agent

Finding and combining goal interaction

Fusion of global and local information for an on-line Signature Verification system

Gender recognition based on fusion on face and gait information

Image classification by combining multiple SVMS

Image fusion algorithm in Intelligent Transport System

Intelligent cutting tool condition monitoring based on a hybrid pattern recognition architecture

Multiclass object learning with JointBoosting-GA

NRMCS : Noise removing based on the MCS

Parallel classifiers ensemble with hierarchical machine learning for imbalanced classes

Regime recognition of two-phase pipe flow based on D-S evidence theory

Remote sensing image fusion based on fast discrete curvelet transform

Research on conflicting evidences combination strategy

Robustness analysis of diversified ensemble decision tree algorithms for Microarray data classification

Study on algorithms of determining basic probability assignment function in Dempster-Shafer evidence theory

The temperature-variation fault diagnosis of high-voltage electric equipment based on information fusion

Wind speed conformal prediction in wind farm based on algorithmic randomness theory

A high-precision approach for effective fractal-based similarity search of stochastic non-stationary time series

A model for case retrieval based on ann and nearest neighbor algorithm

A new bidirectional ARC consistency algorithm

A novel knowledge reduction method based on rank correlation analysis

A scalable collaborative filtering algorithm based on localized preference

A study on the applications of data mining techniques to enhance customer lifetime value — based on the department store industry

A study on the applications of information-sharing concepts to the teaching in elementary school

A top-down search grid based algorithm for fast subspace clustering

An algorithm of association rules double search mining based on binary

An algorithm: Filling the missing values in the incomplete decision table

An approach for optimization of certainty decision rule sets

An association based approach to discovering ordering rules

An attribute discretization algorithm based on Rough Set and information entropy

An improved combination rule in fault diagnosis based on dempster shafer theory

An incremental updating technique for mining indirect association rules

Applying consistent fuzzy preference relation to select merger strategy for financial organizations

Churn prediction with Linear Discriminant Boosting algorithm

Comparing decision tree and optimal risk pattern mining for analysing emergency Ultra Short Stay Unit data

Data Mining based on applying genetic algorithm for extracting rules from a BDB Neural Network

DTGC-Tree: A new strategy of association rules mining

Generalized attribute reduction in consistent decision formal context

Knowledge management performance evaluation based on ANP

Knowledge reduction based on incremental algorithms on attribute space

Mining closed and maximal frequent embedded subtrees using length-decreasing support constraint

Mining frequent closed patterns with item constraints in data streams

Mining lexical hyponymy relations from large-scale concept set

Mining multilevel association rules with dynamic concept hierarchy

Online data stream Mining of Recent Frequent Itemsets based on Sliding Window model

Representing, managing, and reasoning about mathematical knowledge based on strong relevant logic

Research and application on KNN method based on cluster before classification

Research on mining frequency path in compressed path data

Revealing the research themes and trends in Knowledge Management studies

Semi-supervised k-means clustering for multi-type relational data

Sensitive analysis of energy consumption of operating parameters for coal-fired unit

The concept learning in the theory of rough sets

The data mining method based on second learning

The research and realization of decision trees based on credibility

Two revised algorithms based on apriori for mining association rules

UAP-miner: A real-time recommendation algorithm based on User Access sequences

Workflow mining: Extending the αalgorithm to mine duplicate tasks

A new algorithm for solving convex hull problem and its application to feature selection

A novel approach for integrating feature and instance selection

Adaptive neighborhood selection for manifold learning

An improved feature extraction approach based on Rough Sets for the medical diagnosis

Approach for absolute attribute reductions in rough sets

Attribute reduction of large crisp-real concept lattices

Average neighborhood margin maximization projection with smooth regularization for face recognition

Comparative study of dimension reduction and recognition algorithms of DCT and 2DPCA

Feature reduction of flow pattern identification by interaction index

Feature selection based on scatter degree

Feature transformation for efficiently improving performance of HSC

FSSOM: One novel SOM clustering algorithm based on feature selection

Incremental selection of the neighborhood size for ISOMAP

Kernel based 2D symmetrical principal component analysis for face classification

Kernel discriminant analysis with weighted schemes and its application to face recognition

MPEG-7 descriptor selection using Localized Generalization Error Model with mutual information

Principal Component Analysis based Feature Selection for clustering

Research of pattern feature extraction and selection

A fuzzy modeling and solution algorithm for optimization on E-waste reverse logistics

A type of extended optimistic value and pessimistic value to fuzzy variable

An algorithm for generating fuzzy decision tree based on center of gravity

An improved fuzzy comprehensive evaluation using expanded optimization algorithm for combining index weights

Economizing Enhanced Fuzzy Morphological Associative Memory

Entropy and similarity measure of intuitionistic fuzzy sets

Error estimation of perturbations of TL-fuzzy rough sets

Fuzzy decision tree based on the important degree of fuzzy attribute

Fuzzy optimization model based on synthesizing effect and inequity degree

Gray prediction theory applications in drill stem failure

Intuitionistic fuzzy classification and rough approximations

Intuitionistic fuzzy subgroups and its characterizations

Intuitionistic weight generation approach from intuitionistic preference relations

Lattice-valued generalized fuzzy integrals

Nonlinear fuzzy multiregressions based on fuzzy Choquet integrals

On algebraic structure for a class of fuzzy numbers

Online face recognition algorithm based on fuzzy ART

Probability rough sets model between different universes and its applications

Pseudo-hoops and non-commutative fuzzy structures

Some properties of operations on type-2 fuzzy sets

Some properties of random sets on Sugeno measure space

Studies on median value of fuzzy numbers based on confidence level

The properties of mean chance and critical value functions for birandom variables

The satisfactory consistency of fuzzy preference relations

The values and uncertain degrees of discrete fuzzy numbers

The variance formulas for triangular fuzzy random variables

Topological structures of intuitionistic fuzzy rough sets

Using data to design fuzzy system based on Quantum-behaved Particle Swarm Optimization

2007 International Conference on Machine Learning and Cybernetics

2006 International Conference on Machine Learning and Cybernetics

2005 International Conference on Machine Learning and Cybernetics

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)

Proceedings. International Conference on Machine Learning and Cybernetics

The research and realization of decision trees based on credibility

Content Provider	IEEE Xplore Digital Library
Author	Fa-chao Li Ping Li
Copyright Year	2008
Description	Author affiliation: Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang (Fa-chao Li)
Abstract	In the inductive learning, if example bank has noise, it is hard to obtain decision trees with high precision, that is, it is hard to obtain knowledge with high credibility. So, this paper puts forward C-ID3 algorithm, by which we compute confidence level of example bank firstly, and further get a kind of decision tree on the basis of traditional ID3 and the credibility obtained. All the theory analysis and simulation indicate that this method posses interesting feature of strong operability, and it also can improve the reliability of knowledge obtained.
Starting Page	345
Ending Page	349
File Size	683297
Page Count	5
File Format	PDF
ISBN	9781424420957
DOI	10.1109/ICMLC.2008.4620429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision trees Machine learning Data mining Databases Meteorology Reliability Machine learning algorithms Nodes purity Inductive learning Decision tree ID3 C-ID3 Noise Credibility
Content Type	Text
Resource Type	Article

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