Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Frequent itemset mining for Big data
Apriori-based frequent itemset mining algorithms on MapReduce
H-mine: hyper-structure mining of frequent patterns in large databases
A tree projection algorithm for generation of frequent itemsets
Enhanced frequent itemsets based on topic modeling in information filtering
Selective Database Projections Based Approach for Mining High-Utility Itemsets
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
A Pattern Decomposition (PD) Algorithm for Finding All Frequent Patterns in Large Datasets
An Efficient Algorithm for Mining Association Rules in Large Databases
Mining infrequent patterns in data stream
Fast Algorithms for Mining Association Rules
Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey
A Pattern Decomposition Algorithm for Data Mining of Frequent Patterns
Data Mining with Big Data
EFFICIENT MINING OF HIGH UTILITY ITEMSETS FROM TRANSACTIONAL DATABASES
WFIM: Weighted Frequent Itemset Mining with a Weight Range and a Minimum Weight
A Border-Based Approach for Hiding Sensitive Frequent Itemsets
A two-phase algorithm for fast discovery of high utility itemsets
R-Apriori: An Efficient Apriori based Algorithm on Spark
Mining frequent itemsets with convertible constraints
MAFIA: a maximal frequent itemset algorithm
Mining frequent patterns without candidate generation
Local Fisher Discriminant Analysis for Pedestrian Re-identification
An integrated GPU power and performance model
Real-Time Semantic Segmentation with Label Propagation
Reduction of plastic carrier bag use: An analysis of alternatives in Israel.