Fast utility mining on sequence data
W Gan, JCW Lin, J Zhang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
High-utility sequential pattern (HUSP) mining is an emerging topic in the field of knowledge
discovery in databases. It consists of discovering subsequences that have a high utility …
discovery in databases. It consists of discovering subsequences that have a high utility …
NetNCSP: Nonoverlapping closed sequential pattern mining
Sequential pattern mining (SPM) has been applied in many fields. However, traditional SPM
neglects the pattern repetition in sequence. To solve this problem, gap constraint SPM was …
neglects the pattern repetition in sequence. To solve this problem, gap constraint SPM was …
HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining
One-off sequential pattern mining (SPM)(or SPM under the one-off condition) is a kind of
repetitive SPM with gap constraints, and has been widely applied in many fields. However …
repetitive SPM with gap constraints, and has been widely applied in many fields. However …
OWSP-Miner: Self-adaptive one-off weak-gap strong pattern mining
Gap constraint sequential pattern mining (SPM), as a kind of repetitive SPM, can avoid
mining too many useless patterns. However, this method is difficult for users to set a suitable …
mining too many useless patterns. However, this method is difficult for users to set a suitable …
High utility pattern mining over data streams with sliding window technique
H Ryang, U Yun - Expert Systems with Applications, 2016 - Elsevier
Processing changeable data streams in real time is one of the most important issues in the
data mining field due to its broad applications such as retail market analysis, wireless sensor …
data mining field due to its broad applications such as retail market analysis, wireless sensor …
NOSEP: Nonoverlapping sequence pattern mining with gap constraints
Sequence pattern mining aims to discover frequent subsequences as patterns in a single
sequence or a sequence database. By combining gap constraints (or flexible wildcards) …
sequence or a sequence database. By combining gap constraints (or flexible wildcards) …
Negative sequence analysis: A review
W Wang, L Cao - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Negative sequential patterns (NSPs) produced by negative sequence analysis (NSA)
capture more informative and actionable knowledge than classic positive sequential …
capture more informative and actionable knowledge than classic positive sequential …
NWP-Miner: Nonoverlapping weak-gap sequential pattern mining
Nonoverlapping sequential pattern mining (SPM) is a type of SPM with gap constraints that
can mine valuable information in sequences. One of the disadvantages of nonoverlapping …
can mine valuable information in sequences. One of the disadvantages of nonoverlapping …
CCSpan: Mining closed contiguous sequential patterns
J Zhang, Y Wang, D Yang - Knowledge-Based Systems, 2015 - Elsevier
Existing closed sequential pattern mining generates a more compact yet complete resulting
set compared with general sequential pattern mining. However, conventional closed …
set compared with general sequential pattern mining. However, conventional closed …
Mining sequential patterns with itemset constraints
Mining sequential patterns is used to discover all the frequent sequences in a sequence
database. However, the mining may return a huge number of patterns, while the users are …
database. However, the mining may return a huge number of patterns, while the users are …