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Found 8 papers, 0 papers with code
Towards Correlated Sequential Rules
To compensate for this deficiency, high-utility sequential rule mining (HUSRM) is designed to explore the confidence or probability of predicting the occurrence of consequence sequential patterns based on the appearance of premise sequential patterns.
Smart System: Joint Utility and Frequency for Pattern Classification
Big data technologies such as design making, event detection, and classification are developed to help manufacturing organizations to achieve smart systems.
Towards Revenue Maximization with Popular and Profitable Products
To fulfill this gap, in this paper, we first propose a general profit-oriented framework to address the problem of revenue maximization based on economic behavior, and compute the 0n-shelf Popular and most Profitable Products (OPPPs) for the targeted marketing.
Anomaly Rule Detection in Sequence Data
Analyzing sequence data usually leads to the discovery of interesting patterns and then anomaly detection.
Flexible Pattern Discovery and Analysis
Based on the analysis of the proportion of utility in the supporting transactions used in the field of data mining, high utility-occupancy pattern mining (HUOPM) has recently attracted widespread attention.
On the Construction of a Post-Quantum Blockchain for Smart City
In addition, traditional proof of work (PoW)-based consensus protocols such as Bitcoin cannot supply memory mining, and the transaction capacity of each block in a blockchain is limited and needs to be expanded.
Cryptography and Security
Discovering High Utility-Occupancy Patterns from Uncertain Data
To find patterns that can represent the supporting transaction, a recent study was conducted to mine high utility-occupancy patterns whose contribution to the utility of the entire transaction is greater than a certain value.
Databases
