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Found 9 papers, 0 papers with code
Multimodal Large Language Models: A Survey
By addressing these aspects, this paper aims to facilitate a deeper understanding of multimodal models and their potential in various domains.
Model-as-a-Service (MaaS): A Survey
MaaS is a new deployment and service paradigm for different AI-based models.
AI-Generated Content (AIGC): A Survey
To address the challenges of digital intelligence in the digital economy, artificial intelligence-generated content (AIGC) has emerged.
MDL-based Compressing Sequential Rules
In this paper, combined with the Minimum Description Length (MDL) principle and under the two metrics (support and confidence), we introduce the problem of compression of SRM and also propose a solution named ComSR for MDL-based compressing of sequential rules based on the designed sequential rule coding scheme.
Temporal Fuzzy Utility Maximization with Remaining Measure
In this paper, we propose a novel one-phase temporal fuzzy utility itemset mining approach called TFUM.
Itemset Utility Maximization with Correlation Measure
As an important data mining technology, high utility itemset mining (HUIM) is used to find out interesting but hidden information (e. g., profit and risk).
Towards Target High-Utility Itemsets
In this paper, we address this issue by proposing a novel list-based algorithm with pattern matching mechanism, named THUIM (Targeted High-Utility Itemset Mining), which can quickly match high-utility itemsets during the mining process to select the targeted patterns.
Anomaly Rule Detection in Sequence Data
Analyzing sequence data usually leads to the discovery of interesting patterns and then anomaly detection.
TargetUM: Targeted High-Utility Itemset Querying
The algorithm uses a lexicographic querying tree and three effective pruning strategies to improve the mining efficiency.
