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Combined mining: Analyzing object and pattern relations for discovering and constructing complex yet actionable patterns
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/widm.1044openalex-snapshot
Actionable knowledge discovery and delivery
inferredcites →https://doi.org/10.1007/3-540-45372-5_70openalex-snapshot
Action-Rules: How to Increase Profit of a Company
inferredcites →https://doi.org/10.1007/978-0-387-68436-9openalex-snapshot
Introduction to Boolean Algebras
inferredcites →https://doi.org/10.1007/978-0-387-73194-0_3openalex-snapshot
Statistical Decision Theory
inferredcites →https://doi.org/10.1007/978-1-84800-286-9openalex-snapshot
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
inferredcites →https://doi.org/10.1007/978-3-540-68125-0_115openalex-snapshot
Combined Association Rule Mining
inferredcites →https://doi.org/10.1007/978-3-540-89378-3_40openalex-snapshot
Combined Pattern Mining: From Learned Rules to Actionable Knowledge
inferredcites →https://doi.org/10.1007/978-3-642-04125-9_10openalex-snapshot
Action Rules Discovery Based on Tree Classifiers and Meta-actions
inferredcites →https://doi.org/10.1007/978-3-642-04174-7_42openalex-snapshot
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns
inferredcites →https://doi.org/10.1007/978-3-642-30220-6_34openalex-snapshot
CD: A Coupled Discretization Algorithm
inferredcites →https://doi.org/10.1007/978-94-017-0606-3_12openalex-snapshot
Integrating Abduction and Induction in Machine Learning
inferredcites →https://doi.org/10.1007/s11390-009-9288-2openalex-snapshot
Customer Activity Sequence Classification for Debt Prevention in Social Security
inferredcites →https://doi.org/10.1016/b978-1-55860-932-7.x5083-3openalex-snapshot
Knowledge representation and reasoning
inferredcites →https://doi.org/10.1016/j.csda.2007.02.020openalex-snapshot
Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set
inferredcites →https://doi.org/10.1017/cbo9780511755392openalex-snapshot
Essentials of Statistical Inference
inferredcites →https://doi.org/10.1017/cbo9780511813559openalex-snapshot
Principles of Statistical Inference
inferredcites →https://doi.org/10.1109/icde.1997.581756openalex-snapshot
Clustering association rules
inferredcites →https://doi.org/10.1109/icde.2006.96openalex-snapshot
Mining Actionable Patterns by Role Models
inferredcites →https://doi.org/10.1109/tkde.2007.190635openalex-snapshot
Mining Impact-Targeted Activity Patterns in Imbalanced Data
inferredcites →https://doi.org/10.1109/tkde.2009.143openalex-snapshot
Flexible Frameworks for Actionable Knowledge Discovery
inferredcites →https://doi.org/10.1109/tkde.2010.32openalex-snapshot
Domain-Driven Data Mining: Challenges and Prospects
inferredcites →https://doi.org/10.1109/tkde.2011.129openalex-snapshot
Coupled Behavior Analysis with Applications
inferredcites →https://doi.org/10.1109/tsmc.2015.2399862openalex-snapshot
Formalization and Verification of Group Behavior Interactions
inferredcites →https://doi.org/10.1109/tsmcb.2010.2086060openalex-snapshot
Combined Mining: Discovering Informative Knowledge in Complex Data
inferredcites →https://doi.org/10.1109/wiiat.2008.60openalex-snapshot
Efficient Mining of Event-Oriented Negative Sequential Rules
inferredcites →https://doi.org/10.1137/1.9781611972740.20openalex-snapshot
RBA: An Integrated Framework for Regression Based on Association Rules
inferredcites →https://doi.org/10.1145/1288552.1288555openalex-snapshot
Mining for combined association rules on multiple datasets
inferredcites →https://doi.org/10.1145/2063576.2063715openalex-snapshot
Coupled nominal similarity in unsupervised learning
inferredcites →https://doi.org/10.1145/2339530.2339683openalex-snapshot
Coupled behavior analysis for capturing coupling relationships in group-based market manipulations
inferredcites →https://doi.org/10.1145/312129.312216openalex-snapshot
Pruning and summarizing the discovered associations
inferredcites →https://doi.org/10.1145/312129.312275openalex-snapshot
Mining features for sequence classification
inferredcites →https://doi.org/10.1145/956750.956786openalex-snapshot
Classifying large data sets using SVMs with hierarchical clusters
inferredcites →https://doi.org/10.1504/ijbidm.2007.016385openalex-snapshot
Knowledge actionability: satisfying technical and business interestingness
inferredcites →https://doi.org/10.4018/978-1-60566-404-0openalex-snapshot
Post-Mining of Association Rules
inferredcites →https://doi.org/10.5860/choice.33-1577openalex-snapshot
Artificial intelligence: a modern approach
inferredcites →https://doi.org/10.7551/mitpress/5803.001.0001openalex-snapshot
Reasoning About Knowledge
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-1-4471-6551-4_15openalex-snapshot
Learning Complex Behavioral and Social Data
inferred← citeshttps://doi.org/10.1007/978-3-319-20230-3_10openalex-snapshot
A Coupled Similarity Kernel for Pairwise Support Vector Machine
inferred← citeshttps://doi.org/10.1007/978-981-99-9915-6_1openalex-snapshot
COVID-19 Characteristics and Complexities
inferred← citeshttps://doi.org/10.1007/978-981-99-9915-6_13openalex-snapshot
Making Science Ready for Future Emergencies, Crises and Disasters
inferred← citeshttps://doi.org/10.1007/s40747-022-00886-4openalex-snapshot
Recent advances in domain-driven data mining
inferred← citeshttps://doi.org/10.1007/s41060-018-0133-yopenalex-snapshot
FIRE: a two-level interactive visualization for deep exploration of association rules
inferred← citeshttps://doi.org/10.1007/s41060-021-00304-xopenalex-snapshot
Knowledgebase approximation using association rule aggregation
inferred← citeshttps://doi.org/10.1007/s41060-022-00330-3openalex-snapshot
PARAS$$^{\mathrm{c}}$$: a parameter space-driven approach for complete association rule mining
inferred← citeshttps://doi.org/10.1007/s41060-022-00343-yopenalex-snapshot
Semantic enhanced Markov model for sequential E-commerce product recommendation
inferred← citeshttps://doi.org/10.1007/s41060-022-00378-1openalex-snapshot
Recent advances in domain-driven data mining
inferred← citeshttps://doi.org/10.1016/j.ipm.2014.08.007openalex-snapshot
Coupling learning of complex interactions
inferred← citeshttps://doi.org/10.1093/comjnl/bxt084openalex-snapshot
Non-IIDness Learning in Behavioral and Social Data
inferred← citeshttps://doi.org/10.1109/aus.2016.7748234openalex-snapshot
Mining actionable combined high utility incremental and associated patterns
inferred← citeshttps://doi.org/10.1109/dsaa.2015.7344840openalex-snapshot
Mining actionable combined patterns of high utility and frequency
inferred← citeshttps://doi.org/10.1109/icdmw.2014.203openalex-snapshot
A New Coupled Metric Learning for Real-time Anomalies Detection with High-Frequency Field Programmable Gate Arrays
inferred← citeshttps://doi.org/10.1109/mis.2015.105openalex-snapshot
Nonoccurring Behavior Analytics: A New Area
inferred← citeshttps://doi.org/10.1109/tkde.2018.2808532openalex-snapshot
Unsupervised Coupled Metric Similarity for Non-IID Categorical Data
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3063162openalex-snapshot
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3202791openalex-snapshot
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences
inferred← citeshttps://doi.org/10.1109/tsmc.2017.2768547openalex-snapshot
Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency
inferred← citeshttps://doi.org/10.1145/3444368openalex-snapshot
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback
inferred← citeshttps://doi.org/10.1145/3546157.3546169openalex-snapshot
BD-ECG: Identification of Myocardial Infarction in ECG via Behavior Coupling
inferred← citeshttps://doi.org/10.1371/journal.pone.0283365openalex-snapshot
Mining actionable combined high utility incremental and associated sequential patterns
inferred← citeshttps://doi.org/10.2991/icaita-16.2016.10openalex-snapshot
A Combined Co-location Pattern Mining Approach for Post-Analyzing Co-location Patterns
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