Advanced Data Mining and Applications
19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part III
Article
It is very hard to construct an infinite family of cyclic codes of rate close to one half whose minimum distances have a good bound. Tang-Ding codes are very interesting, as their minimum distances have a squa...
Chapter and Conference Paper
Existing research primarily focuses on spelling and grammatical errors in English, such as missing or wrongly adding characters. This kind of shallow error has been well-studied. Instead, there are many unsolv...
Book and Conference Proceedings
19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part III
Book and Conference Proceedings
19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part IV
Book and Conference Proceedings
19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part I
Book and Conference Proceedings
19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part V
Book and Conference Proceedings
19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part II
Chapter and Conference Paper
Top-N recommendation is a common tool to discover interesting items, which ranks the items based on user preference using their interaction history. Implicit feedback is often used by recommender systems due t...
Chapter and Conference Paper
Graph Neural Networks (GNNs) have shown great ability in modeling graph-structured data. However, most current models aggregate information from the local neighborhoods of a node. They may fail to explicitly e...
Chapter and Conference Paper
The problem of searching radius-bounded k-cores (RB-k-cores) for a given query vertex is to find cohesive subgraphs satisfying both social and spatial constraints on geo-social networks. However, the search resul...
Article
Recently a lot of works have been investigating to find the tenuous groups, i.e., groups with few social interactions and weak relationships among members, for reviewer selection and psycho-educational group f...
Article
The optimal sequenced route (OSR) query, as a popular problem in route planning for smart cities, searches for a minimum-distance route passing through several POIs in a specific order from a starting position...
Chapter and Conference Paper
Face recognition (FR) is one of the most successful image analysis and understanding applications, which has recently received significant attentions. However, despite the remarkable progress in face recogniti...
Chapter and Conference Paper
Focusing on the confrontation analysis requirements of joint operation system of systems, this paper proposes an intelligent matching method of operational elements based on semantic features for typical large...
Chapter and Conference Paper
In order to improve the proportion of cold chain distribution, effectively control transportation links and information, and ensure the quality of cold chain food, it is necessary to establish an effective mon...
Article
Motivated by location-based social networks which allow people to access location-based services as a group, we study a novel variant of optimal sequenced route (OSR) queries, optimal sequenced route for group me...
Article
毫米波天线设计面临高增益、宽带、低成本等诸多挑战,在该频段基片集成波导(Substrate Integrated Waveguide,SIW)由于其辐射损耗低和易集成的优势而被广泛应用。然而在毫米波频段SIW的介质损耗直接降低了天线辐射效率,若采用低损耗介质材料会导致较高的制造成本。基片集成空腔波导(Empty Substrate Integrated Waveguide,ESIW)结构通过去除SIW中介质,可实现...
Chapter and Conference Paper
The optimal sequenced route (OSR) query, as a popular problem in route planning for smart cities, searches for a minimum-distance route passing through several POIs in a specific order from a starting position...
Chapter and Conference Paper
Road segment representation is important for evaluating travel time, route recovery and traffic anomaly detection. Recent works mainly consider topology information of road network based on graph neural networ...
Article
Cloud computing is an emerging distributed system that provides flexible and dynamically scalable computing resources for use at low cost. Task scheduling in cloud computing environment is one of the main prob...