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Fast discovery and the generalization of strong jumping emerging patterns for building compact and accurate classifiers

https://doi.org/10.1109/tkde.2006.95

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-45681-3_4openalex-snapshot

Fast Algorithms for Mining Emerging Patterns

inferredcites →https://doi.org/10.1007/3-540-46846-3_4openalex-snapshot

CAEP: Classification by Aggregating Emerging Patterns

inferredcites →https://doi.org/10.1007/3-540-47887-6_45openalex-snapshot

An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification

inferredcites →https://doi.org/10.1007/978-3-540-48247-5_50openalex-snapshot

Efficient Mining of High Confidence Association Rules without Support Thresholds

inferredcites →https://doi.org/10.1007/978-3-662-04923-5openalex-snapshot

Data Mining and Knowledge Discovery with Evolutionary Algorithms

inferredcites →https://doi.org/10.1007/b97647openalex-snapshot

Log-Linear Models and Logistic Regression

inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot

Induction of Decision Trees

inferredcites →https://doi.org/10.1007/bf00153759openalex-snapshot

Instance-Based Learning Algorithms

inferredcites →https://doi.org/10.1007/pl00011662openalex-snapshot

Making Use of the Most Expressive Jumping Emerging Patterns for Classification

inferredcites →https://doi.org/10.1016/0004-3702(82)90040-6openalex-snapshot

Generalization as search

inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-snapshot

Classification and regression trees

inferredcites →https://doi.org/10.1017/cbo9780511812651openalex-snapshot

Pattern Recognition and Neural Networks

inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot

Random Forests

inferredcites →https://doi.org/10.1023/b:dami.0000026901.85057.58openalex-snapshot

Incremental Maintenance on the Border of the Space of Emerging Patterns

inferredcites →https://doi.org/10.1080/00401706.1998.10485551openalex-snapshot

Log-Linear Models and Logistic Regression

inferredcites →https://doi.org/10.1093/bioinformatics/18.5.725openalex-snapshot

Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns

inferredcites →https://doi.org/10.1093/bioinformatics/19.1.71openalex-snapshot

Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients

inferredcites →https://doi.org/10.1093/bioinformatics/btg1066openalex-snapshot

Discovery of significant rules for classifying cancer diagnosis data

inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot

Neural Networks for Pattern Recognition

inferredcites →https://doi.org/10.1109/icdm.2001.989550openalex-snapshot

H-mine: hyper-structure mining of frequent patterns in large databases

inferredcites →https://doi.org/10.1109/icdm.2001.989558openalex-snapshot

LPMiner: an algorithm for finding frequent itemsets using length-decreasing support constraint

inferredcites →https://doi.org/10.1109/tai.1994.346412openalex-snapshot

MLC++: a machine learning library in C++

inferredcites →https://doi.org/10.1145/240455.240468openalex-snapshot

Mining business databases

inferredcites →https://doi.org/10.1145/312129.312191openalex-snapshot

Efficient mining of emerging patterns

inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot

Mining frequent patterns without candidate generation

inferredcites →https://doi.org/10.1145/342009.335372openalex-snapshot

Mining frequent patterns without candidate generation

inferredcites →https://doi.org/10.1145/347090.347158openalex-snapshot

Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets

inferredcites →https://doi.org/10.1145/502512.502539openalex-snapshot

Efficient discovery of error-tolerant frequent itemsets in high dimensions

inferredcites →https://doi.org/10.1145/507338.507355openalex-snapshot

Data mining

inferredcites →https://doi.org/10.2307/2288003openalex-snapshot

Classification and Regression Trees.

inferredcites →https://doi.org/10.2307/2530946openalex-snapshot

Classification and Regression Trees.

inferredcites →https://doi.org/10.29172/7c2a6982-6d72-4cd8-bba6-2fccb06a7011openalex-snapshot

Random forests

inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot

Neural networks for pattern recognition

inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot

Data mining: concepts and techniques

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/widm.1231openalex-snapshot

An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

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A Restriction-Based Approach to Generalizations

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Correlation of Resampling Methods for Contrast Pattern Based Classifiers

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Efficient Mining of Non-derivable Emerging Patterns

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Contrast Sets

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Emerging Patterns

inferred← citeshttps://doi.org/10.1007/978-3-540-68125-0_12openalex-snapshot

Feature Construction Based on Closedness Properties Is Not That Simple

inferred← citeshttps://doi.org/10.1007/978-3-540-87563-5_7openalex-snapshot

Attribute Set Dependence in Reduct Computation

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Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification

inferred← citeshttps://doi.org/10.1007/978-3-540-88425-5_45openalex-snapshot

Efficient Discovery of Top-K Minimal Jumping Emerging Patterns

inferred← citeshttps://doi.org/10.1007/978-3-642-13657-3_18openalex-snapshot

A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification

inferred← citeshttps://doi.org/10.1007/978-3-642-14467-7_13openalex-snapshot

On the Relation between Jumping Emerging Patterns and Rough Set Theory with Application to Data Classification

inferred← citeshttps://doi.org/10.1007/978-3-642-15992-3_26openalex-snapshot

Cascading an Emerging Pattern Based Classifier

inferred← citeshttps://doi.org/10.1007/978-3-642-18302-7_5openalex-snapshot

Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification

inferred← citeshttps://doi.org/10.1007/978-3-642-23878-9_21openalex-snapshot

A Framework to Mine High-Level Emerging Patterns by Attribute-Oriented Induction

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Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data

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Fuzzy emerging patterns for classifying hard domains

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Efficient mining of discriminative co-clusters from gene expression data

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Exploiting patterns to explain individual predictions

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A survey of emerging patterns for supervised classification

inferred← citeshttps://doi.org/10.1007/s10489-021-02595-wopenalex-snapshot

MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification

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EPACO: a novel ant colony optimization for emerging patterns based classification

inferred← citeshttps://doi.org/10.1007/s10723-020-09526-yopenalex-snapshot

A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges

inferred← citeshttps://doi.org/10.1007/s11280-006-0012-7openalex-snapshot

Patterns Based Classifiers

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An effective contrast sequential pattern mining approach to taxpayer behavior analysis

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A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

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Functional proteomic pattern identification under low dose ionizing radiation

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Parameter-free classification in multi-class imbalanced data sets

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DFP-SEPSF: A dynamic frequent pattern tree to mine strong emerging patterns in streamwise features

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Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data

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Mining decision rules on data streams in the presence of concept drifts

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An approach for adaptive associative classification

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Finding the best diversity generation procedures for mining contrast patterns

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Deviance mining with treatment learning and declare-based encoding of event logs

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PBC4occ: A novel contrast pattern-based classifier for one-class classification

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A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams

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Jumping emerging patterns with negation in transaction databases – Classification and discovery

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Effect of class imbalance on quality measures for contrast patterns: An experimental study

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Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases

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E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

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LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification

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LODE: A distance-based classifier built on ensembles of positive and negative observations

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Semantic genetic programming for fast and accurate data knowledge discovery

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Evaluation of Different Methods for Identification of Structural Alerts Using Chemical Ames Mutagenicity Data Set as a Benchmark

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Perspectives on Knowledge Discovery Algorithms Recently Introduced in Chemoinformatics: Rough Set Theory, Association Rule Mining, Emerging Patterns, and Formal Concept Analysis

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Emerging Pattern Mining To Aid Toxicological Knowledge Discovery

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Using contrast patterns between true complexes and random subgraphs in PPI networks to predict unknown protein complexes

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New structural alerts for Ames mutagenicity discovered using emerging pattern mining techniques

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A novel approach of mining strong jumping emerging patterns based on BSC-tree

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Contrast Pattern-Based Classification for Bot Detection on Twitter

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Cost-Sensitive Pattern-Based classification for Class Imbalance problems

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Signaling biomarker pattern discovery using reverse phase protein microarray

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Functional Proteomic Pattern Identification under Low Dose Ionizing Radiation

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An improved algorithm of mining Strong Jumping Emerging Patterns based on sorted SJEP-Tree

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Discovering Emerging Patterns from Medical Opinions about the Decrease of Autopsies Performed in a Mexican Hospital

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Survey of emerging patterns

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A Decision Tree-Based Approach to Mining the Rules of Concept Drift

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Pattern-based decision tree construction

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Causal Associative Classification

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A New Algorithm Based on Shared Pattern-Tree to Mine Shared Emerging Patterns

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A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data

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Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data

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Distributed Mining of Contrast Patterns

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Mining strong jumping emerging patterns with a novel list data structure

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Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets

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Diverging patterns

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Mining emerging patterns by streaming feature selection

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A new classification method using array Comparative Genome Hybridization data, based on the concept of Limited Jumping Emerging Patterns

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