[PDF][PDF] A survey of sequential pattern mining
P Fournier-Viger, JCW Lin… - Data Science and …, 2017 - philippe-fournier-viger.com
Discovering unexpected and useful patterns in databases is a fundamental data mining task.
In recent years, a trend in data mining has been to design algorithms for discovering …
In recent years, a trend in data mining has been to design algorithms for discovering …
A survey of itemset mining
Itemset mining is an important subfield of data mining, which consists of discovering
interesting and useful patterns in transaction databases. The traditional task of frequent …
interesting and useful patterns in transaction databases. The traditional task of frequent …
FHM: Faster high-utility itemset mining using estimated utility co-occurrence pruning
High utility itemset mining is a challenging task in frequent pattern mining, which has wide
applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation …
applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation …
Using artificial intelligence techniques for COVID-19 genome analysis
The genome of the novel coronavirus (COVID-19) disease was first sequenced in January
2020, approximately a month after its emergence in Wuhan, capital of Hubei province …
2020, approximately a month after its emergence in Wuhan, capital of Hubei province …
Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment
The goal of this study was to assess how metacognitive monitoring and scientific reasoning
impacted the efficiency of game completion during learning with Crystal Island, a game …
impacted the efficiency of game completion during learning with Crystal Island, a game …
Review on mining data from multiple data sources
In this paper, we review recent progresses in the area of mining data from multiple data
sources. The advancement of information communication technology has generated a large …
sources. The advancement of information communication technology has generated a large …
MalSPM: Metamorphic malware behavior analysis and classification using sequential pattern mining
Malware pose a serious threat to the computers of individuals, enterprises and other
organizations. In the Windows operating system (OS), Application Programming Interface …
organizations. In the Windows operating system (OS), Application Programming Interface …
VMSP: Efficient vertical mining of maximal sequential patterns
Sequential pattern mining is a popular data mining task with wide applications. However, it
may present too many sequential patterns to users, which makes it difficult for users to …
may present too many sequential patterns to users, which makes it difficult for users to …
Analysis of public reactions to the novel Coronavirus (COVID-19) outbreak on Twitter
Purpose The novel Coronavirus (COVID-19) pandemic, which started in late December
2019, has spread to more than 200 countries. As no vaccine is yet available for this …
2019, has spread to more than 200 countries. As no vaccine is yet available for this …
How does prior knowledge influence eye fixations and sequences of cognitive and metacognitive SRL processes during learning with an intelligent tutoring system?
The goal of this study was to use eye-tracking and log-file data to investigate the impact of
prior knowledge on college students'(N= 194, with a subset of n= 30 for eye tracking and …
prior knowledge on college students'(N= 194, with a subset of n= 30 for eye tracking and …