Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Efficient Data Mining Algorithms for Mining Frequent/Closed/Maximal Itemsets
LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
A distributed frequent itemset mining algorithm based on Spark
Minimally Infrequent Itemset Mining using Pattern-Growth Paradigm and Residual Trees
Effective algorithm for frequent pattern mining
Fast Algorithms for Mining Association Rules
EFFICIENT MINING OF HIGH UTILITY ITEMSETS FROM TRANSACTIONAL DATABASES
YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark
MAFIA: a maximal frequent itemset algorithm for transactional databases
Selective Database Projections Based Approach for Mining High-Utility Itemsets
A fast distributed algorithm for mining association rules
A Pattern Decomposition Algorithm for Data Mining of Frequent Patterns
BIDE: efficient mining of frequent closed sequences
Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data
Fast Algorithms for Mining Association Rules in Large Databases
An Efficient Algorithm for Mining Association Rules in Large Databases
Market Basket Analysis for a Supermarket based on Frequent Itemset Mining
Mining Association Rules between Sets of Items in Large Databases
A Border-Based Approach for Hiding Sensitive Frequent Itemsets
WFIM: Weighted Frequent Itemset Mining with a Weight Range and a Minimum Weight
Frequent itemset mining for Big Data in social media using ClustBigFIM algorithm
Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy
Real world performance of association rule algorithms
Power signatures of high-performance computing workloads
An introduction to intertask transfer for reinforcement learning
qualitative research in financial markets value creation drivers in a secondary buyout – the acquisition of brenntag by bc partners .