With the widespread application of efficient pattern mining algorithms,
...
With the evolution of content on the web and the Internet, there is a ne...
Sequential pattern mining (SPM) has excellent prospects and application
...
DNA motif discovery is an important issue in gene research, which aims t...
To address the challenges of digital intelligence in the digital economy...
Finding high-importance patterns in data is an emerging data mining task...
With the rapid growth of the Internet, human daily life has become deepl...
The metaverse, which is at the stage of innovation and exploration, face...
Since the first appearance of the World Wide Web, people more rely on th...
In the era of the Web of Things, the Metaverse is expected to be the lan...
High-utility sequential pattern mining (HUSPM) has emerged as an importa...
The discovery of utility-driven patterns is a useful and difficult resea...
Nowadays, with the rapid development of the Internet, the era of big dat...
The Internet of Behavior is a research theme that aims to analyze human
...
In terms of artificial intelligence, there are several security and priv...
Traditional education has been updated with the development of informati...
Metaverse is a living space and cyberspace that realizes the process of
...
We are living in the era of big data. The Metaverse is an emerging techn...
The goal of high-utility sequential pattern mining (HUSPM) is to efficie...
As a fusion of various emerging digital technologies, the Metaverse aims...
Contrast pattern mining (CPM) is an important and popular subfield of da...
High utility sequential pattern mining (HUSPM) is a significant and valu...
On-shelf utility mining (OSUM) is an emerging research direction in data...
As an important data mining technology, high utility itemset mining (HUI...
High utility itemset mining approaches discover hidden patterns from lar...
In many real-world applications, sequential rule mining (SRM) can provid...
For applied intelligence, utility-driven pattern discovery algorithms ca...
Nowadays, the environments of smart systems for Industry 4.0 and Interne...
Sequential pattern mining (SPM) is an important technique of pattern min...
Economic-wise, a common goal for companies conducting marketing is to
ma...
Analyzing sequence data usually leads to the discovery of interesting
pa...
Utility-driven mining is an important task in data science and has many
...
Based on the analysis of the proportion of utility in the supporting
tra...
Traditional high-utility itemset mining (HUIM) aims to determine all
hig...
Because of usefulness and comprehensibility, fuzzy data mining has been
...
Recently, contiguous sequential pattern mining (CSPM) gained interest as...
Episode discovery from an event is a popular framework for data mining t...
Utility-driven itemset mining is widely applied in many real-world scena...
Significant efforts have been expended in the research and development o...
Fuzzy systems have good modeling capabilities in several data science
sc...
Data mining is a widely used technology for various real-life applicatio...
Owing to some special characteristics and features, blockchain is a very...
Utility mining has emerged as an important and interesting topic owing t...
High-utility sequential pattern mining (HUSPM) has recently emerged as a...
It is widely known that there is a lot of useful information hidden in b...
Mining is the important part of the blockchain used the proof of work (P...
Utility-oriented pattern mining has become an emerging topic since it ca...
Sequence data, e.g., complex event sequence, is more commonly seen than ...
Useful knowledge, embedded in a database, is likely to change over time....
High-utility sequential pattern mining is an emerging topic in the field...