An iterative MapReduce based frequent subgraph mining algorithm
MA Bhuiyan, M Al Hasan - IEEE transactions on knowledge and …, 2014 - ieeexplore.ieee.org
Frequent subgraph mining (FSM) is an important task for exploratory data analysis on graph
data. Over the years, many algorithms have been proposed to solve this task. These …
data. Over the years, many algorithms have been proposed to solve this task. These …
Mining sequential patterns from uncertain big DNA in the spark framework
Big data has become ubiquitous as high volumes of wide varieties of valuable data of
different veracities (eg, precise, imprecise or uncertain data) are made available at a high …
different veracities (eg, precise, imprecise or uncertain data) are made available at a high …
A general model for performance optimization of sequential systems
D Bufistov, J Cortadella, M Kishinevsky… - 2007 IEEE/ACM …, 2007 - ieeexplore.ieee.org
Retiming, c-slow retiming and recycling are different transformations for the performance
optimization of sequential circuits. For retiming and c-slow retiming, different models that …
optimization of sequential circuits. For retiming and c-slow retiming, different models that …
An efficient distributed programming model for mining useful patterns in big datasets
Mining combined association rules with correlation and market basket analysis can discover
customer's buying purchase rules along with frequently correlated, associated-correlated …
customer's buying purchase rules along with frequently correlated, associated-correlated …
Interesting user behaviour prediction in mobile e-commerce environment using constraints
Mobile e-commerce has become a more emerging topic these days and is speedily
increasing with the growth of internet. It is playing an essential role in our life as it helps us …
increasing with the growth of internet. It is playing an essential role in our life as it helps us …
CCSMP: an efficient closed contiguous sequential pattern mining algorithm with a pattern relation graph
H Hu, J Zhang, R Xia, S Liu - Applied Intelligence, 2023 - Springer
The closed contiguous sequential pattern combines the advantages of closedness
constraints and contiguity constraints and in recent years has been widely used in the fields …
constraints and contiguity constraints and in recent years has been widely used in the fields …
Frequent patterns mining in DNA sequence
N Deng, X Chen, D Li, C Xiong - IEEE Access, 2019 - ieeexplore.ieee.org
As a common biological sequence, DNA sequences contain important information. The
discovery of frequent patterns in DNA sequences can help to study the evolution, function …
discovery of frequent patterns in DNA sequences can help to study the evolution, function …
Mining uncertain sequential patterns in iterative MapReduce
J Ge, Y Xia, J Wang - Advances in Knowledge Discovery and Data Mining …, 2015 - Springer
This paper proposes a sequential pattern mining (SPM) algorithm in large scale uncertain
databases. Uncertain sequence databases are widely used to model inaccurate or …
databases. Uncertain sequence databases are widely used to model inaccurate or …
[HTML][HTML] 基于同步频繁树的时间序列关联规则分析
李海林， 龙芳菊 - 智能系统学报, 2021 - html.rhhz.net
针对经典算法Apriori 和频繁模式增长算法(frequent pattern growth, FP-growth)
不能直接对时间序列数据进行关联规则挖掘的问题, 提出一种同步频繁树算法(synchronize …
不能直接对时间序列数据进行关联规则挖掘的问题, 提出一种同步频繁树算法(synchronize …
FSM-H: frequent subgraph mining algorithm in hadoop
MA Bhuiyan, M Al Hasan - 2014 IEEE International Congress …, 2014 - ieeexplore.ieee.org
Frequent subgraph mining (FSM) is an important task for exploratory data analysis on graph
data. Over the years, many algorithms have been proposed to solve this task. These …
data. Over the years, many algorithms have been proposed to solve this task. These …