NDLI: Data mining with ensembles of fuzzy decision trees

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2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)

2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)

2009 IEEE Symposium on Computational Intelligence and Data Mining

Table of contents

Tutorial CIDM-T Temporal pattern mining in symbolic time point and time interval data

Building ultra-low false alarm rate Support Vector Classifier ensembles using Random Subspaces

Collaborative filtering with fine-grained trust metric

HybridSOM: A generic rule extraction framework for self-organizing feature maps

Assessing the influence probability between objects: A random walker approach

Intelligent feature extraction and knowledge mining by multivariate analyses

Efficient model selection for Support Vector Machine with Gaussian kernel function

A fault tolerant peer-to-peer distributed EM algorithm

A new hybrid method for Bayesian network learning With dependency constraints

A pillar algorithm for K-means optimization by distance maximization for initial centroid designation

An adaptive ensemble classifier for concept drifting stream

Missing traffic flow data prediction using least squares support vector machines in urban arterial streets

Dynamic classifier selection using clustering for spam detection

Skill rating by Bayesian inference

Clustering-based activity classification with a wrist-worn accelerometer using basic features

Decision trees as information source for attribute selection

An enhanced data mining life cycle

Local mining of Association Rules with Rule Schemas

Extracting hot spots of basic and complex topics from time stamped documents

Hierarchically classifying documents with multiple labels

Determining the strength of the propensities of a blog network

Mining electronic medical records for patient care patterns

Gender identification from E-mails

Generalized random rotation perturbation for vertically partitioned data sets

Mining for insider threats in business transactions and processes

Density-based clustering of polygons

Nnon-collaborative interest mining for personal devices

An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software

Automatic analysis of eye tracking data for medical diagnosis

Application of the preference learning model to a human resources selection task

Practical fuzzy decision trees

Data mining via protoform based linguistic summaries: Some possible relations to natural language generation

Handling continuous attributes in Ant Colony Classification algorithms

A novel data clustering algorithm based on electrostatic field concepts

Evolving decision trees using oracle guides

Ensemble member selection using multi-objective optimization

Association based classification for relational data and its use in web mining

Empirical comparison of graph classification algorithms

Faster computation of the direct product kernel for graph classification

Dependable performance analysis for fuzzy clustering of web usage data

Discovering relational knowledge from two disjoint sets of literatures using inductive Logic Programming

LD-BSCA: A local-density based spatial clustering algorithm

Trajectory clustering in road network environment

An architecture and algorithms for multi-run clustering

MWASP: Multiple-Width Approximate Sequential Patterns

Fuzzy p-mode prototypes: A generalization of frequency-based cluster prototypes for clustering categorical objects

Diversity analysis on imbalanced data sets by using ensemble models

Large-scale attribute selection using wrappers

An improved multiple minimum support based approach to mine rare association rules

Data mining with ensembles of fuzzy decision trees

The locality of RBF-SVM for incremental learning

Parametric subspace analysis for dimensionality reduction and classification

Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection

Analysis and visualization of the geographical distribution of atlantic forest bromeliads species

Maintaining only frequent itemsets to mine approximate frequent itemsets over online data streams

Regularized Extreme Learning Machine

Relevance weighting of multi-term queries for Vector Space Model

An approximation algorithm for finding skeletal points for density based clustering approaches

Mining Multiple Temporal Patterns of complex dynamic data systems

2007 IEEE Symposium on Computational Intelligence and Data Mining

Data mining with ensembles of fuzzy decision trees

Content Provider	IEEE Xplore Digital Library
Author	Marsala, C.
Copyright Year	2009
Description	Author affiliation: Université Pierre et Marie Curie Paris6, CNRS UMR 7606, LIP6, 104 avenue du Président Kennedy, Paris, F-75016, France (Marsala, C.)
Abstract	In this paper, a study is presented to explore ensembles of fuzzy decision trees. First of all, a quick recall of the state of the art related to ensembles of (fuzzy) decision trees in Machine Learning is presented. Afterwards, a new approach to construct a forest of fuzzy decision trees is proposed. Two experiments are described, one with forests of fuzzy decision trees, and the other with bagging of fuzzy decision trees. The results highlight the interest of using fuzzy set theory in this kind of approaches.
Starting Page	348
Ending Page	354
File Size	415017
Page Count	7
File Format	PDF
ISBN	9781424427659
DOI	10.1109/CIDM.2009.4938670
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning algorithms Error analysis Machine learning Probability Boosting Fuzzy set theory Data mining Decision trees Bagging Classification tree analysis
Content Type	Text
Resource Type	Article

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