Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Mining infrequent patterns in data stream
Minimally Infrequent Itemset Mining using Pattern-Growth Paradigm and Residual Trees
Mining association rules from quantitative data
Mining Databases and Data Streams with Query Languages and Rules
Fast Algorithms for Mining Association Rules in Large Databases
ALGORITHMS FOR DISTRIBUTED DATA STREAM MINING
CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets
An FP Tree based Approach for Extracting Frequent Pattern from Large Database by Applying Parallel and Partition Projection
Sequential PAttern mining using a bitmap representation
Enhanced situation space mining for data streams
UP-Hist Tree: An Efficient Data Structure for Mining High Utility Patterns from Transaction Databases
A fast distributed algorithm for mining association rules
Mining sequential patterns
Mining negative sequential patterns
Unsupervised pattern mining from symbolic temporal data
e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning
Differentially Private Frequent Sequence Mining
Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories
R-Apriori: An Efficient Apriori based Algorithm on Spark
Survey on the Techniques of FP-Growth Tree for Efficient Frequent Item-set Mining
Distributed Adaptive Model Rules for mining big data streams
Recent advances on multicue object tracking: a survey
keel data - mining software tool : data set repository , integration of algorithms and experimental analysis framework .
Compressing Deep Convolutional Networks Using K-means Based on Weights Distribution
Fast Algorithms for Mining Association Rules in Large Databases
APPLICATIONS OF CELLULAR AUTOMATA IN COMPLEX SYSTEM STUDY