Suchergebnisse - "Data Science and Engineering"

A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation von Yuan, Haitao, Li, Guoliang

“… Intelligent transportation (e.g., intelligent traffic light) makes our travel more convenient and efficient. With the development of mobile Internet and …”
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Representation Learning in Multi-view Clustering: A Literature Review von Chen, Man-Sheng, Lin, Jia-Qi, Li, Xiang-Long, Liu, Bao-Yu, Wang, Chang-Dong, Huang, Dong, Lai, Jian-Huang

“… Multi-view clustering (MVC) has attracted more and more attention in the recent few years by making full use of complementary and consensus information between …”
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Image Preprocessing in Classification and Identification of Diabetic Eye Diseases von Sarki, Rubina, Ahmed, Khandakar, Wang, Hua, Zhang, Yanchun, Ma, Jiangang, Wang, Kate

“… Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients. Identifying DED is a crucial activity in retinal fundus images because …”
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DB-GPT: Large Language Model Meets Database von Zhou, Xuanhe, Sun, Zhaoyan, Li, Guoliang

“… Large language models (LLMs) have shown superior performance in various areas. And LLMs have the potential to revolutionize data management by serving as the …”
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Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art von Peng, Yun, Choi, Byron, Xu, Jianliang

“… Graphs have been widely used to represent complex data in many applications, such as e-commerce, social networks, and bioinformatics. Efficient and effective …”
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Dimensionality Reduction in Surrogate Modeling: A Review of Combined Methods von Hou, Chun Kit Jeffery, Behdinan, Kamran

“… Surrogate modeling has been popularized as an alternative to full-scale models in complex engineering processes such as manufacturing and computer-assisted …”
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Link Prediction on Complex Networks: An Experimental Survey von Wu, Haixia, Song, Chunyao, Ge, Yao, Ge, Tingjian

“… Complex networks have been used widely to model a large number of relationships. The outbreak of COVID-19 has had a huge impact on various complex networks in …”
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A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration von Lan, Hai, Bao, Zhifeng, Peng, Yuwei

“… Query optimizer is at the heart of the database systems. Cost-based optimizer studied in this paper is adopted in almost all current database systems. A …”
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Approximate Query Processing: What is New and Where to Go?: A Survey on Approximate Query Processing von Li, Kaiyu, Li, Guoliang

“… Online analytical processing (OLAP) is a core functionality in database systems. The performance of OLAP is crucial to make online decisions in many …”
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Deep Learning for User Interest and Response Prediction in Online Display Advertising von Gharibshah, Zhabiz, Zhu, Xingquan, Hainline, Arthur, Conway, Michael

“… User interest and behavior modeling is a critical step in online digital advertising. On the one hand, user interests directly impact their response and …”
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Deep Multiple Auto-Encoder-Based Multi-view Clustering von Du, Guowang, Zhou, Lihua, Yang, Yudi, Lü, Kevin, Wang, Lizhen

“… Multi-view clustering (MVC), which aims to explore the underlying structure of data by leveraging heterogeneous information of different views, has brought …”
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A Survey of Cross-lingual Sentiment Analysis: Methodologies, Models and Evaluations von Xu, Yuemei, Cao, Han, Du, Wanze, Wang, Wenqing

“… Cross-lingual sentiment analysis (CLSA) leverages one or several source languages to help the low-resource languages to perform sentiment analysis. Therefore, …”
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Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation von Dai, Shaojie, Yu, Yanwei, Fan, Hao, Dong, Junyu

“… Recommending a limited number of Point-of-Interests (POIs) a user will visit next has become increasingly important to both users and POI holders for …”
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Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis von Siuly, Siuly, Zhang, Yanchun

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Time-Dependent Graphs: Definitions, Applications, and Algorithms von Wang, Yishu, Yuan, Ye, Ma, Yuliang, Wang, Guoren

“… A time-dependent graph is, informally speaking, a graph structure dynamically changes with time. In such graphs, the weights associated with edges dynamically …”
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Big Data Reduction Methods: A Survey von ur Rehman, Muhammad Habib, Liew, Chee Sun, Abbas, Assad, Jayaraman, Prem Prakash, Wah, Teh Ying, Khan, Samee U.

“… Research on big data analytics is entering in the new phase called fast data where multiple gigabytes of data arrive in the big data systems every second …”
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Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization von Tian, Shan, Mo, Songsong, Wang, Liwei, Peng, Zhiyong

“… Motivated by the application of viral marketing , the topic-aware influence maximization (TIM) problem has been proposed to identify the most influential users …”
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A Survey of Personalized News Recommendation von Meng, Xiangfu, Huo, Hongjin, Zhang, Xiaoyan, Wang, Wanchun, Zhu, Jinxia

“… Personalized news recommendation is an important technology to help users obtain news information they are interested in and alleviate information overload. In …”
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GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network von Wu, Shiwen, Zhang, Yuanxing, Gao, Chengliang, Bian, Kaigui, Cui, Bin

“… The advances of mobile equipment and localization techniques put forward the accuracy of the location-based service (LBS) in mobile networks. One core issue …”
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Provenance-Aware Knowledge Representation: A Survey of Data Models and Contextualized Knowledge Graphs von Sikos, Leslie F., Philp, Dean

“… Expressing machine-interpretable statements in the form of subject-predicate-object triples is a well-established practice for capturing semantics of …”
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