標(biāo)題: Titlebook: Database and Expert Systems Applications; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202 [打印本頁(yè)] 作者: 使固定 時(shí)間: 2025-3-21 19:14
書(shū)目名稱(chēng)Database and Expert Systems Applications影響因子(影響力)
書(shū)目名稱(chēng)Database and Expert Systems Applications影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Database and Expert Systems Applications網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Database and Expert Systems Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Database and Expert Systems Applications被引頻次
書(shū)目名稱(chēng)Database and Expert Systems Applications被引頻次學(xué)科排名
書(shū)目名稱(chēng)Database and Expert Systems Applications年度引用
書(shū)目名稱(chēng)Database and Expert Systems Applications年度引用學(xué)科排名
書(shū)目名稱(chēng)Database and Expert Systems Applications讀者反饋
書(shū)目名稱(chēng)Database and Expert Systems Applications讀者反饋學(xué)科排名
作者: 違法事實(shí) 時(shí)間: 2025-3-21 22:45 作者: explicit 時(shí)間: 2025-3-22 01:51
Automated Process Knowledge Graph Construction from BPMN Modelsems can benefit from knowledge graphs as they contribute towards implementing visions of interconnected, decentralized and flexible smart manufacturing systems. Process knowledge is a key perspective which has so far attracted limited attention in this context, despite its usefulness for capturing t作者: 翻動(dòng) 時(shí)間: 2025-3-22 06:42
CAKE: A Context-Aware Knowledge Embedding Model of Knowledge Graphmising prospects. However, performances of existing knowledge embedding methods are mostly either far from satisfactory, or exhibits weakness for generalization. In this work, a context-aware knowledge embedding model (CAKE) has been proposed for applications like knowledge completion and link predi作者: Feature 時(shí)間: 2025-3-22 12:14
The Digitalization of?Bioassays in?the?Open Research Knowledge Graph graphs. The Open Research Knowledge Graph (ORKG, .) represents an important step in this direction, with thousands of . as structured, fine-grained, machine-readable data. There is a need, however, to engender change in traditional community practices of recording contributions as unstructured, non作者: vocation 時(shí)間: 2025-3-22 14:31 作者: vocation 時(shí)間: 2025-3-22 17:39
CoK: A Survey of?Privacy Challenges in?Relation to?Data Meshesr shared safely amongst multiple cooperating parties. Data meshes are composed of subsets (or whole sets) of data repositories that are owned by autonomous parties. This raises new challenges in terms of guaranteeing privacy across various data mesh compositions. In this paper, we present a survey o作者: Paleontology 時(shí)間: 2025-3-22 21:47 作者: 嚴(yán)重傷害 時(shí)間: 2025-3-23 04:30
Provenance-Based SPARQL Query FormulationQL queries”, namely, queries whose structure resembles SPARQL but are not necessarily grounded to the schema of the underlying Knowledge Base (KB) and require only basic familiarity with SPARQL. This means that the user-intended query over the KB may differ from the specified semi-formal query in it作者: GLUE 時(shí)間: 2025-3-23 07:22 作者: GULP 時(shí)間: 2025-3-23 12:59 作者: exacerbate 時(shí)間: 2025-3-23 15:28
Deep Active Learning Framework for?Crowdsourcing-Enhanced Image Classification and?Segmentation crowdsourcing provides a new way to obtain manually labeled data with the advantages of lower annotation costs and faster annotation speed very recently, especially in the field of computer vision for image classification and segmentation. Therefore, it is necessary to investigate how to combine ma作者: hysterectomy 時(shí)間: 2025-3-23 20:22
Sentiment and?Knowledge Based Algorithmic Trading with?Deep Reinforcement Learning it almost impossible to have reliable algorithms for automated stock trading. The lack of reliable labelled data that considers physical and physiological factors that dictate the ups and downs of the market, has hindered the supervised learning attempts for dependable predictions. To learn a good 作者: capillaries 時(shí)間: 2025-3-24 00:14
DeepCore: A Comprehensive Library for?Coreset Selection in?Deep Learningownstream tasks such as data-efficient learning, continual learning, neural architecture search, active learning, etc. However, many existing coreset selection methods are not designed for deep learning, which may have high complexity and poor generalization performance. In addition, the recently pr作者: adroit 時(shí)間: 2025-3-24 05:27
Context Iterative Learning for?Aspect-Level Sentiment Classificationn words in long sentences. According to extensive research, irrelevant words are far removed from the central words. This paper proposes a solution: First, we design the Context Iterative Learning network (CILN). Context attention module (CAM) is proposed, which employs Context Features Dynamic Mask作者: 邊緣帶來(lái)墨水 時(shí)間: 2025-3-24 09:36
Jointly Learning Propagating Features on?the?Knowledge Graph for?Movie Recommendationuse an attention-based multi-hop propagation mechanism to take users and movies as center nodes and extend their attributes along with the connections of the knowledge graph by recursively calculating the different contributions of their neighbors. We use two real-world datasets to show the effectiv作者: 使閉塞 時(shí)間: 2025-3-24 12:17 作者: 單調(diào)女 時(shí)間: 2025-3-24 16:31
Automated Process Knowledge Graph Construction from BPMN Modelstransformation tool with a real-world industrial use case focused on quality management in plastic injection molding for the automotive sector. We use BPMN2KG for process-centric integration of dispersed production systems data that results in an integrated knowledge graph that can be queried using 作者: Arresting 時(shí)間: 2025-3-24 22:55
CAKE: A Context-Aware Knowledge Embedding Model of Knowledge Graphe the “attention” mechanism in our model. In this work, the learned embeddings of entities and relations are applied to link prediction and triple classification in experiments and our model shows the best performance compared with multiple baselines.作者: Hiatal-Hernia 時(shí)間: 2025-3-25 03:02
The Digitalization of?Bioassays in?the?Open Research Knowledge Graphsays with 5,514 unique property-value pairs for 103 predicates shows competitive performance. . As a result, semantified assay collections can be surveyed on the ORKG platform via tabulation or chart-based visualizations of key property values of the chemicals and compounds offering smart knowledge 作者: 青石板 時(shí)間: 2025-3-25 06:48 作者: Detoxification 時(shí)間: 2025-3-25 11:05
A Divergent Index Advisor Using Deep Reinforcement Learningload partitions and learns the benefit of their index configurations via performance observation. We conduct experiments using the TPC-H and TPC-DS database benchmarks to evaluate the performance of DINA. The experiments show that DINA yields better query execution time than the existing algorithms.作者: Amylase 時(shí)間: 2025-3-25 14:48
Jonathan Hofmann,Sandra Schmolzuse an attention-based multi-hop propagation mechanism to take users and movies as center nodes and extend their attributes along with the connections of the knowledge graph by recursively calculating the different contributions of their neighbors. We use two real-world datasets to show the effectiv作者: 喃喃而言 時(shí)間: 2025-3-25 19:32 作者: 我正派 時(shí)間: 2025-3-25 23:57
Michael Scharpf,Bernd-Joachim Ertelttransformation tool with a real-world industrial use case focused on quality management in plastic injection molding for the automotive sector. We use BPMN2KG for process-centric integration of dispersed production systems data that results in an integrated knowledge graph that can be queried using 作者: 極少 時(shí)間: 2025-3-26 01:18
Interkulturelle Kompetenz für Controllere the “attention” mechanism in our model. In this work, the learned embeddings of entities and relations are applied to link prediction and triple classification in experiments and our model shows the best performance compared with multiple baselines.作者: LEVER 時(shí)間: 2025-3-26 07:56
CFO – vom Zahlenverwalter zum Co-Pilotensays with 5,514 unique property-value pairs for 103 predicates shows competitive performance. . As a result, semantified assay collections can be surveyed on the ORKG platform via tabulation or chart-based visualizations of key property values of the chemicals and compounds offering smart knowledge 作者: 委屈 時(shí)間: 2025-3-26 11:19
Rückkehr der Grenzplankostenrechner?simulate three inference attack scenarios to better ascertain the risk of publishing raw energy data. In addition, we investigate three activation extraction methods for appliance event detection. The results show that the disclosure risk associated with releasing smart grid data in their original f作者: Coordinate 時(shí)間: 2025-3-26 15:21
https://doi.org/10.1007/978-3-8349-6398-7load partitions and learns the benefit of their index configurations via performance observation. We conduct experiments using the TPC-H and TPC-DS database benchmarks to evaluate the performance of DINA. The experiments show that DINA yields better query execution time than the existing algorithms.作者: Dorsal-Kyphosis 時(shí)間: 2025-3-26 19:00 作者: 同位素 時(shí)間: 2025-3-27 00:22 作者: irreducible 時(shí)間: 2025-3-27 01:13 作者: 為寵愛(ài) 時(shí)間: 2025-3-27 05:50 作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-27 13:06 作者: Soliloquy 時(shí)間: 2025-3-27 16:35
Interkulturelle Kompetenz für Controllermising prospects. However, performances of existing knowledge embedding methods are mostly either far from satisfactory, or exhibits weakness for generalization. In this work, a context-aware knowledge embedding model (CAKE) has been proposed for applications like knowledge completion and link predi作者: 出來(lái) 時(shí)間: 2025-3-27 18:08 作者: crescendo 時(shí)間: 2025-3-27 23:35 作者: endarterectomy 時(shí)間: 2025-3-28 04:16 作者: Hiatal-Hernia 時(shí)間: 2025-3-28 08:16
Kosten- und Leistungsverrechnung trend for distributing data across multiple platforms and using the technologies most suited for each case according to criteria such as performance and cost. But it also raises new challenges and needs, like understanding the sources, the transformations, and the processes made on the data to infe作者: Glutinous 時(shí)間: 2025-3-28 10:45 作者: JOG 時(shí)間: 2025-3-28 14:57 作者: Carcinogen 時(shí)間: 2025-3-28 19:03 作者: PLE 時(shí)間: 2025-3-28 22:55 作者: Cognizance 時(shí)間: 2025-3-29 03:50
Controlling zwischen Wissenschaft und Praxis it almost impossible to have reliable algorithms for automated stock trading. The lack of reliable labelled data that considers physical and physiological factors that dictate the ups and downs of the market, has hindered the supervised learning attempts for dependable predictions. To learn a good 作者: CAND 時(shí)間: 2025-3-29 08:28
Laudatio auf Herrn Karlheinz Hornungownstream tasks such as data-efficient learning, continual learning, neural architecture search, active learning, etc. However, many existing coreset selection methods are not designed for deep learning, which may have high complexity and poor generalization performance. In addition, the recently pr作者: MODE 時(shí)間: 2025-3-29 12:52 作者: BIAS 時(shí)間: 2025-3-29 18:41
https://doi.org/10.1007/978-3-031-12423-5artificial intelligence; communication systems; computer networks; computer science; computer systems; da作者: 監(jiān)禁 時(shí)間: 2025-3-29 22:39 作者: Spinal-Tap 時(shí)間: 2025-3-30 00:37
0302-9743 and Expert Systems Applications, DEXA 2022, held in Vienna in August 2022..The 43 full papers presented together with 20 short papers in these volumes were carefully reviewed and selected from a total of 120 submissions. The papers are organized around the following topics: Big Data Management and A作者: 水土 時(shí)間: 2025-3-30 07:15 作者: Mystic 時(shí)間: 2025-3-30 08:32 作者: 向外供接觸 時(shí)間: 2025-3-30 13:27 作者: 收到 時(shí)間: 2025-3-30 17:37
https://doi.org/10.1007/978-3-8350-9592-2CAM is done alternately to reduce the influence of distant irrelevant words. Finally, the obtained feature sequences are linked with the global sentence sequence. The Accuracy and Macro-F1 indicators obtained from the experiments based on benchmark datasets demonstrate the efficacy of the proposed method.作者: enmesh 時(shí)間: 2025-3-31 00:26
CoK: A Survey of?Privacy Challenges in?Relation to?Data Meshesata privacy with respect to meshed data. Finally, we postulate that identifying personal data in such datasets must be handled with a performance efficient algorithm that can determine (on-the-fly), potential linkages across various data repositories, that could be exploited to subvert privacy.作者: 深淵 時(shí)間: 2025-3-31 03:47
