Node classification is the task of predicting the labels of unlabeled no...
Image-text retrieval is one of the major tasks of cross-modal retrieval....
Finding high-importance patterns in data is an emerging data mining task...
High utility sequential pattern mining (HUSPM) aims to mine all patterns...
Discovering frequent trends in time series is a critical task in data mi...
For applied intelligence, utility-driven pattern discovery algorithms ca...
Graphs are a popular data type found in many domains. Numerous technique...
Economic-wise, a common goal for companies conducting marketing is to
ma...
Recently, hyperbolic space has risen as a promising alternative for
semi...
Useful knowledge, embedded in a database, is likely to change over time....
High-utility sequential pattern mining is an emerging topic in the field...
Utility-oriented mining which integrates utility theory and data mining ...
Knowledge extraction from database is the fundamental task in database a...
Mining useful patterns from varied types of databases is an important
re...
With the growing popularity of resource sharing and shared resources, la...
The main purpose of data mining and analytics is to find novel, potentia...