Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Improved Algorithm for Mining Maximum Frequent Patterns Based on FP-Tree
Pincer-Search: A New Algorithm for Discovering the Maximum Frequent Set
Mining association rules with multiple minimum supports
Top- k high utility pattern mining with effective threshold raising strategies
Efficient Data Mining for Path Traversal Patterns
TSP: Mining top-k closed sequential patterns
An UpDown Directed Acyclic Graph Approach for Sequential Pattern Mining
R-Apriori: An Efficient Apriori based Algorithm on Spark
A Survey on Algorithms of Mining Frequent Subgraphs
A Study of Sequential Pattern Mining Techniques
A Survey of Frequent Subgraph Mining Algorithms
GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions
k-Pattern Set Mining under Constraints
MAFIA: a maximal frequent itemset algorithm for transactional databases
Mining Association Rules with Multiple Minimum Supports Using Maximum Constraints
FiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters
WFIM: Weighted Frequent Itemset Mining with a Weight Range and a Minimum Weight
Efficient Implementations of Apriori and Eclat
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Fast Algorithms for Mining Association Rules in Large Databases
Parallel Implementation of Apriori Algorithm Based on MapReduce
Phylogeographical patterns shed light on evolutionary process in South America
Duplicating road patterns in south african informal settlements using procedural techniques
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
Suitability for Psychotherapy Scale (SPS) and its reliability, validity, and prediction.
Mining sequential patterns