Titlebook: Computational Data and Social Networks; 12th International C Minh Hoàng Hà,Xingquan Zhu,My T. Thai Conference proceedings 2024 The Editor(s

Uncultured

Ineke M. Pit-ten Cate,Sabine Glockfound in legal documents. Traditionally, this challenge has been approached as a single-class text classification problem. However, due to the inherent complexity of legal information, characterized by intricate connections and associations between various legal entities and concepts, we propose tha

Inordinate

Forschungsfragen und Hypothesen, collaborative signal into user and item embeddings which will contain information about user-item interactions after that. However, there are still some unsatisfactory points for a CF model that GNNs could have done better. The way in which the collaborative signal are extracted through an implicit

令人苦恼

phase-2-enzyme

https://doi.org/10.1007/978-3-658-05390-1s typically face with two important decisions on portfolio selection and portfolio allocation. This article aims to delve into the realm of portfolio optimization by applying the time series clustering method to historical data of stock returns on the Vietnamese stock market. The VNIndex (VNINDEX) f

archetype

https://doi.org/10.1007/978-3-658-05390-1mation retrieval and data collection for machine learning, research, and survey reports in various fields such as meteorology, science, geography, literature, and more. However, manual data collection and classification can be time-consuming and prone to errors. Additionally, AI assistants used for

JECT

https://doi.org/10.1007/978-3-531-90994-3ned threshold, has received significant attention recently. However, those works only focused on discrete domain while many practical applications require us to investigate in the continuous domain. Motivated by this observation, we study a . (.) problem: given a network ., in which each edge . is a

会议

Angela Vennemann,Christina Holtz-Bachao determine .) the sequence of stations to be built and the number of vehicles to acquire in order to obtain the target state where all stations are built, and .) the number of vehicles to acquire and their allocation in order to maximize the total profit returned by operating the system when some o

骑师

Klaus Moser,Christopher Verheyenating decision tree models. This research also takes into account a cost-sensitive decision tree construction problem, with the premise that test costs must be spent in order to get the values of the decision attribute and that a record must be categorized without surpassing the expenditure cost thr

HAIRY

NATAL

978-981-97-0668-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor