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Contrast and change mining

https://doi.org/10.1002/widm.27
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What this work says

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

inferredcites →https://doi.org/10.1006/jcss.2001.1808openalex-snapshot
A Framework for Measuring Differences in Data Characteristics
inferredcites →https://doi.org/10.1007/11430919_48openalex-snapshot
Visualization of Cluster Changes by Comparing Self-organizing Maps
inferredcites →https://doi.org/10.1007/11590316_1openalex-snapshot
Data Clustering: A User’s Dilemma
inferredcites →https://doi.org/10.1007/3-540-44466-1_34openalex-snapshot
Mining Changes for Real-Life Applications
inferredcites →https://doi.org/10.1007/3-540-60299-2_9openalex-snapshot
On similarity queries for time-series data: Constraint specification and implementation
inferredcites →https://doi.org/10.1007/3-540-63223-9_108openalex-snapshot
An algorithm for multi-relational discovery of subgroups
inferredcites →https://doi.org/10.1007/978-1-4757-3131-6openalex-snapshot
Parametric Statistical Change Point Analysis
inferredcites →https://doi.org/10.1007/978-3-540-30123-3_11openalex-snapshot
Monitoring the Evolution of Web Usage Patterns
inferredcites →https://doi.org/10.1007/978-3-540-45160-0_19openalex-snapshot
Efficiently Mining Interesting Emerging Patterns
inferredcites →https://doi.org/10.1007/978-3-540-74976-9_49openalex-snapshot
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/978-981-10-8612-0_66openalex-snapshot
A Design Framework for Instrumenting Analytic Provenance for Problem-Solving Tasks
inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1007/bf00116895openalex-snapshot
Incremental Learning from Noisy Data
inferredcites →https://doi.org/10.1007/bf00993161openalex-snapshot
Tracking Drifting Concepts By Minimizing Disagreements
inferredcites →https://doi.org/10.1007/pl00011662openalex-snapshot
Making Use of the Most Expressive Jumping Emerging Patterns for Classification
inferredcites →https://doi.org/10.1007/s00778-009-0134-5openalex-snapshot
HE-Tree: a framework for detecting changes in clustering structure for categorical data streams
inferredcites →https://doi.org/10.1007/s10115-009-0264-5openalex-snapshot
Visualizing temporal cluster changes using Relative Density Self-Organizing Maps
inferredcites →https://doi.org/10.1016/0005-1098(78)90005-5openalex-snapshot
Modeling by shortest data description
inferredcites →https://doi.org/10.1016/0016-3287(82)90028-3openalex-snapshot
Creating the Corporate Future—Plan or be planned for
inferredcites →https://doi.org/10.1016/0167-8655(89)90092-5openalex-snapshot
Floating approximation in time-varying knowledge bases
inferredcites →https://doi.org/10.1016/0304-3975(95)80029-9openalex-snapshot
Alignment of trees — an alternative to tree edit
inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-snapshot
Classification and regression trees
inferredcites →https://doi.org/10.1016/0378-3758(89)90033-5openalex-snapshot
Algorithms for clustering data
inferredcites →https://doi.org/10.1016/b978-012088469-8.50019-xopenalex-snapshot
Detecting Change in Data Streams
inferredcites →https://doi.org/10.1016/b978-012722442-8/50016-1openalex-snapshot
A Framework for Clustering Evolving Data Streams
inferredcites →https://doi.org/10.1016/j.eswa.2004.12.033openalex-snapshot
Mining changes in customer behavior in retail marketing
inferredcites →https://doi.org/10.1016/j.eswa.2005.04.029openalex-snapshot
Mining negative contrast sets from data with discrete attributes
inferredcites →https://doi.org/10.1016/j.fss.2004.07.018openalex-snapshot
Mining changes in association rules: a fuzzy approach
inferredcites →https://doi.org/10.1016/j.ins.2006.04.002openalex-snapshot
On the relation between rough set reducts and jumping emerging patterns
inferredcites →https://doi.org/10.1016/s0169-7161(88)07022-1openalex-snapshot
20 Nonparametric methods for changepoint problems
inferredcites →https://doi.org/10.1016/s0898-1221(96)90007-3openalex-snapshot
Advances in knowledge discovery and data mining
inferredcites →https://doi.org/10.1016/s0957-4174(01)00037-9openalex-snapshot
Mining the change of customer behavior in an internet shopping mall
inferredcites →https://doi.org/10.1080/00949658208810560openalex-snapshot
Algorithmic complexity: three NP - hard problems in computational statistics
inferredcites →https://doi.org/10.1109/grc.2008.4664715openalex-snapshot
MovStream: An efficient algorithm for monitoring clusters evolving in data streams
inferredcites →https://doi.org/10.1109/icdm.2008.34openalex-snapshot
ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps
inferredcites →https://doi.org/10.1109/nafips.2008.4531243openalex-snapshot
Identifying temporal trajectories of association rules with fuzzy descriptions
inferredcites →https://doi.org/10.1111/j.1468-0394.2005.00310.xopenalex-snapshot
Detecting the change of customer behavior based on decision tree analysis
inferredcites →https://doi.org/10.1137/1.9781611972733.9openalex-snapshot
Mining Changes of Classification by Correspondence Tracing
inferredcites →https://doi.org/10.1137/1.9781611972771.12openalex-snapshot
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
inferredcites →https://doi.org/10.1145/1083784.1083789openalex-snapshot
Mining data streams
inferredcites →https://doi.org/10.1145/1132960.1132963openalex-snapshot
Interestingness measures for data mining
inferredcites →https://doi.org/10.1145/1150402.1150491openalex-snapshot
MONIC
inferredcites →https://doi.org/10.1145/1281192.1281197openalex-snapshot
Efficient and effective explanation of change in hierarchical summaries
inferredcites →https://doi.org/10.1145/1314215.1314230openalex-snapshot
Managing large collections of data mining models
inferredcites →https://doi.org/10.1145/1412734.1412736openalex-snapshot
Higher order mining
inferredcites →https://doi.org/10.1145/1540276.1540278openalex-snapshot
On exploiting the power of time in data mining
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/253260.253264openalex-snapshot
Similarity-based queries for time series data
inferredcites →https://doi.org/10.1145/303976.303989openalex-snapshot
A framework for measuring changes in data characteristics
inferredcites →https://doi.org/10.1145/312129.312191openalex-snapshot
Efficient mining of emerging patterns
inferredcites →https://doi.org/10.1145/312129.312263openalex-snapshot
Detecting change in categorical data
inferredcites →https://doi.org/10.1145/319950.320061openalex-snapshot
Adaptive information filtering
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/10.1145/502512.502561openalex-snapshot
Discovering the set of fundamental rule changes
inferredcites →https://doi.org/10.1145/956750.956781openalex-snapshot
On detecting differences between groups
inferredcites →https://doi.org/10.1198/tech.2002.s718openalex-snapshot
Time-Series Forecasting
inferredcites →https://doi.org/10.1214/aos/1032181158openalex-snapshot
Heuristics of instability and stabilization in model selection
inferredcites →https://doi.org/10.2307/2533084openalex-snapshot
The Analysis of Time Series: An Introduction
inferredcites →https://doi.org/10.5555/1577069.1577083openalex-snapshot
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining

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.1116openalex-snapshot
Fuzzy temporal association rules: combining temporal and quantitative data to increase rule expressiveness
inferred← citeshttps://doi.org/10.1002/widm.1367openalex-snapshot
Temporal association rule mining: An overview considering the time variable as an integral or implied component
inferred← citeshttps://doi.org/10.1007/978-3-319-08608-8_6openalex-snapshot
A Study on the Applications of Emerging Sequential Patterns
inferred← citeshttps://doi.org/10.1007/978-3-319-98140-6_1openalex-snapshot
Introduction to Supervised Descriptive Pattern Mining
inferred← citeshttps://doi.org/10.1007/978-3-319-98140-6_7openalex-snapshot
Other Forms of Supervised Descriptive Pattern Mining
inferred← citeshttps://doi.org/10.1007/978-3-642-32378-2_12openalex-snapshot
Exploring Time Series of Patterns: Guided Drill-Down in Hierarchies Using Change Mining on Frequent Item Sets
inferred← citeshttps://doi.org/10.1007/s10115-016-0987-zopenalex-snapshot
A survey of methods for time series change point detection
inferred← citeshttps://doi.org/10.1007/s12530-012-9065-2openalex-snapshot
Detecting and Visualizing the Change in Classification of Customer Profiles based on Transactional Data
inferred← citeshttps://doi.org/10.1007/s13218-022-00766-6openalex-snapshot
Agnostic Explanation of Model Change based on Feature Importance
inferred← citeshttps://doi.org/10.1016/b978-0-12-394399-6.00020-5openalex-snapshot
Data Intensive Imaging and Microscopy
inferred← citeshttps://doi.org/10.1016/j.knosys.2017.10.015openalex-snapshot
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy
inferred← citeshttps://doi.org/10.1016/j.tele.2015.10.005openalex-snapshot
Change discovery of learning performance in dynamic educational environments
inferred← citeshttps://doi.org/10.1080/01969722.2022.2080340openalex-snapshot
Change-Detection Machine Learning Model for Educational Management
inferred← citeshttps://doi.org/10.1093/comjnl/bxs132openalex-snapshot
Contrasting Subgroup Discovery
inferred← citeshttps://doi.org/10.1109/access.2022.3162399openalex-snapshot
Unsupervised Change Point Detection and Trend Prediction for Financial Time-Series Using a New CUSUM-Based Approach
inferred← citeshttps://doi.org/10.1109/icacsis.2014.7065820openalex-snapshot
Relative density estimation using Self-Organizing Maps
inferred← citeshttps://doi.org/10.1109/icdmw.2011.44openalex-snapshot
Change Mining of Customer Profiles Based on Transactional Data
inferred← citeshttps://doi.org/10.1109/icsme58944.2024.00084openalex-snapshot
BIPeC: A Combined Change-Point Analyzer to Identify Performance Regressions in Large-scale Database Systems
inferred← citeshttps://doi.org/10.1109/smc.2018.00750openalex-snapshot
System Evolution Analytics: Evolution and Change Pattern Mining of Inter-Connected Entities
inferred← citeshttps://doi.org/10.1109/tcds.2020.3023196openalex-snapshot
Semiautomatic Behavioral Change-Point Detection: A Case Study Analyzing Children Interactions With a Social Agent
inferred← citeshttps://doi.org/10.1109/tem.2020.2987641openalex-snapshot
Service Evolution Analytics: Change and Evolution Mining of a Distributed System
inferred← citeshttps://doi.org/10.1109/tetci.2019.2892734openalex-snapshot
minStab: Stable Network Evolution Rule Mining for System Changeability Analysis
inferred← citeshttps://doi.org/10.1115/1.4026937openalex-snapshot
Continuous Preference Trend Mining for Optimal Product Design With Multiple Profit Cycles
inferred← citeshttps://doi.org/10.1145/2700482openalex-snapshot
Using Health-Consumer-Contributed Data to Detect Adverse Drug Reactions by Association Mining with Temporal Analysis
inferred← citeshttps://doi.org/10.1201/b12986-34openalex-snapshot
Mining Emerging Patterns for Activity Recognition
inferred← citeshttps://doi.org/10.17706/jsw.11.2.148-161openalex-snapshot
Handling Sparse Data Sets by Applying Contrast Set Mining in Feature Selection
inferred← citeshttps://doi.org/10.2991/icaicte.2013.36openalex-snapshot
Mining the Change of Fuzzy Quantitative Association Rules for Summative Assessment
inferred← citeshttps://doi.org/10.32604/cmes.2022.019764openalex-snapshot
Change Point Detection for Process Data Analytics Applied to a Multiphase Flow Facility
inferred← citeshttps://doi.org/10.48550/arxiv.2106.09691openalex-snapshot
Interactive Change Point Detection using optimisation approach and Bayesian statistics applied to real world applications
inferred← citeshttps://doi.org/10.5220/0011039400003182openalex-snapshot
A Dynamic Indicator to Model Students’ Digital Behavior
inferred← citeshttps://doi.org/10.52280/j7cty911openalex-snapshot
An Online Detection Method for Identifying True Change Points
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