Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing
Apriori-based frequent itemset mining algorithms on MapReduce
Fast mining frequent itemsets using Nodesets
Efficient Data Mining Algorithms for Mining Frequent/Closed/Maximal Itemsets
Balanced Parallel Frequent Pattern Mining over Massive Data Stream
DFPS: Distributed FP-growth algorithm based on Spark
a parallel apriori algorithm for frequent itemsets mining .
EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining
H-mine: hyper-structure mining of frequent patterns in large databases
Frequent Itemset Mining
A fast high utility itemsets mining algorithm
An Efficient Data Mining Method to Find Frequent Item Sets in Large Database Using TR-FCTM
An FP Tree based Approach for Extracting Frequent Pattern from Large Database by Applying Parallel and Partition Projection
Parallel implementation of Apriori algorithms on the Hadoop-MapReduce platform - An evaluation of literature
FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning
Parallel Implementation of Apriori Algorithm Based on MapReduce
Mining Frequent Patterns in Data Streams at Multiple Time Granularities
Effective algorithm for frequent pattern mining
StreamDM: Advanced Data Mining in Spark Streaming
Improvement of Eclat Algorithm Based on Support in Frequent Itemset Mining
Efficient Big Data Processing in Hadoop MapReduce
CLOSET+: searching for the best strategies for mining frequent closed itemsets
Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines
The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones
A New Control Strategy of an Electric-Power-Assisted Steering System
Decoding with Finite-State Transducers on GPUs