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Efficient Graph-Based Algorithms for Discovering and Maintaining Association Rules in Large Databases
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-48912-6_10openalex-snapshot
An Efficient Approach for Incremental Association Rule Mining
inferredcites →https://doi.org/10.1007/3-540-48912-6_55openalex-snapshot
Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases
inferredcites →https://doi.org/10.1007/3-540-58495-1_17openalex-snapshot
Knowledge discovery in databases: A rule-based attribute-oriented approach
inferredcites →https://doi.org/10.1007/bf00125369openalex-snapshot
The analysis of relationships in databases for rule derivation
inferredcites →https://doi.org/10.1007/bfb0014140openalex-snapshot
Mining sequential patterns: Generalizations and performance improvements
inferredcites →https://doi.org/10.1016/s0167-739x(97)00019-8openalex-snapshot
Mining generalized association rules
inferredcites →https://doi.org/10.1109/69.204089openalex-snapshot
Data-driven discovery of quantitative rules in relational databases
inferredcites →https://doi.org/10.1109/69.250074openalex-snapshot
Database mining: a performance perspective
inferredcites →https://doi.org/10.1109/icde.1992.213146openalex-snapshot
Knowledge mining by imprecise querying: a classification-based approach
inferredcites →https://doi.org/10.1109/icde.1995.380413openalex-snapshot
Set-oriented mining for association rules in relational databases
inferredcites →https://doi.org/10.1109/icde.1996.492094openalex-snapshot
Maintenance of discovered association rules in large databases: an incremental updating technique
inferredcites →https://doi.org/10.1109/pdis.1996.568663openalex-snapshot
An efficient approach to discovering knowledge from large databases
inferredcites →https://doi.org/10.1142/9789812819536_0020openalex-snapshot
A General Incremental Technique for Maintaining Discovered Association Rules
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/191246.191314openalex-snapshot
Finding interesting rules from large sets of discovered association rules
inferredcites →https://doi.org/10.1145/191839.191863openalex-snapshot
Combinatorial pattern discovery for scientific data
inferredcites →https://doi.org/10.1145/223784.223813openalex-snapshot
An effective hash-based algorithm for mining association rules
inferredcites →https://doi.org/10.1145/233269.233311openalex-snapshot
Mining quantitative association rules in large relational tables
inferredcites →https://doi.org/10.1145/253260.253325openalex-snapshot
Dynamic itemset counting and implication rules for market basket data
inferredcites →https://doi.org/10.1145/274535.274537openalex-snapshot
Performance-driven soft-macro clustering and placement by preserving HDL design hierarchy
inferredcites →https://doi.org/10.1145/288627.288667openalex-snapshot
Using incremental pruning to increase the efficiency of dynamic itemset counting for mining association rules
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-32390-2_16openalex-snapshot
The Incremental Method for Discovery of Association Rules
inferred← citeshttps://doi.org/10.1007/3-540-36175-8_21openalex-snapshot
Mining Frequent Instances on Workflows
inferred← citeshttps://doi.org/10.1007/978-3-540-30133-2_154openalex-snapshot
Multi-agent Web Recommendation Method Based on Indirect Association Rules
inferred← citeshttps://doi.org/10.1007/978-3-540-39964-3_48openalex-snapshot
Mining Association Rules from Relational Data – Average Distance Based Method
inferred← citeshttps://doi.org/10.1007/s10115-008-0178-7openalex-snapshot
Hiding sensitive knowledge without side effects
inferred← citeshttps://doi.org/10.1007/s10115-009-0223-1openalex-snapshot
Mining fuzzy association rules from uncertain data
inferred← citeshttps://doi.org/10.1016/j.ins.2009.08.022openalex-snapshot
RMAIN: Association rules maintenance without reruns through data
inferred← citeshttps://doi.org/10.1016/j.is.2006.04.002openalex-snapshot
Mining association rules in very large clustered domains
inferred← citeshttps://doi.org/10.1016/s0306-4379(03)00031-0openalex-snapshot
A matching algorithm for measuring the structural similarity between an XML document and a DTD and its applications
inferred← citeshttps://doi.org/10.1109/comswa.2008.4554520openalex-snapshot
A dynamic mining algorithm of association rules for alarm correlation in communication networks
inferred← citeshttps://doi.org/10.1109/icics.2007.4449696openalex-snapshot
Incremental association rule mining using promising frequent itemset algorithm
inferred← citeshttps://doi.org/10.1109/icsmc.2003.1244242openalex-snapshot
Maintenance of discovered informative rule sets: incremental insertion
inferred← citeshttps://doi.org/10.1109/icsmc.2005.1571140openalex-snapshot
Maintenance of Discovered Informative Rule Sets: Incremental Deletion
inferred← citeshttps://doi.org/10.1109/tkde.2003.1185839openalex-snapshot
Synthesizing high-frequency rules from different data sources
inferred← citeshttps://doi.org/10.1109/wkdd.2008.32openalex-snapshot
A Novel Algorithm for Dynamic Mining of Association Rules
inferred← citeshttps://doi.org/10.2478/s13537-011-0005-1openalex-snapshot
XML document-grammar comparison: related problems and applications
inferred← citeshttps://doi.org/10.2478/v10006-009-0015-5openalex-snapshot
Mining Indirect Association Rules for Web Recommendation
inferred← citeshttps://doi.org/10.3233/ida-2007-11305openalex-snapshot
Maintenance of informative ruler sets for predictions1
inferred← citeshttps://doi.org/10.4018/978-1-60960-497-4.ch018openalex-snapshot
Enhancing Service Quality in Hospitals
inferred← citeshttps://doi.org/10.4018/jicthd.2009091505openalex-snapshot
Enhancing Service Quality in Hospitals
inferred← citeshttps://doi.org/10.5120/7837-0773openalex-snapshot
Predicting Missing Items in Shopping Cart using Associative Classification Mining
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