mortality 发表于 2025-3-21 17:01:35
书目名称Collaborate Computing: Networking, Applications and Worksharing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0229348<br><br> <br><br>书目名称Collaborate Computing: Networking, Applications and Worksharing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0229348<br><br> <br><br>慌张 发表于 2025-3-21 21:48:09
http://reply.papertrans.cn/23/2294/229348/229348_2.png承认 发表于 2025-3-22 03:28:00
Parallel Seed Selection for Influence Maximization Based on ,-, Decompositionolutions, the greedy and its improvements are time-consuming. In this paper, we propose candidate shells influence maximization (.) algorithm under heat diffusion model to select seeds in parallel. We employ . algorithm (a modified algorithm of greedy) to coarsely estimate the influence spread to av休闲 发表于 2025-3-22 07:59:58
The Service Recommendation Problem: An Overview of Traditional and Recent Approachesand more important for describing non-functional characteristics of services. The most popular technique is the Collaborative Filtering (CF) based on QoS values. Existing few approaches for service recommendation based on CF have been studied, so we are going to do a survey of these techniques in de包裹 发表于 2025-3-22 10:08:29
Gaussian LDA and Word Embedding for Semantic Sparse Web Service Discoverytuation, users rely heavily on the search engine model to retrieve their expected Web services. However, due to the fact that Web services registered in API marketplaces are described in short texts, the search engine based discovery method suffers from the semantic sparsity problem, which in turn lenlist 发表于 2025-3-22 16:00:01
Quality-Assure and Budget-Aware Task Assignment for Spatial Crowdsourcing research among academic and industry community. As participants may possess different capabilities and reliabilities, as well as the changeable locations and available time slots of both tasks and potential workers, a major challenge is how to assign spatial tasks to appropriate workers from lots oenlist 发表于 2025-3-22 19:31:11
Collaborative Prediction Model of Disease Risk by Mining Electronic Health Recordsgitudinal properties make EHRs analysis an inherently challenge. To address this issue, this paper proposes CAPM, a Collaborative Assessment Prediction Model based on patient temporal graph representation, which relies only on a patient EHRs using ICD-10 codes to predict future disease risks. FirstlDysarthria 发表于 2025-3-22 21:18:49
An Adaptive Multiple Order Context Huffman Compression Algorithm Based on Markov Modelis traversed, and the character space of the data and the times that one character transfers to its neighboring character are figured out. According to the statistical results, we can calculate the one-step transition probability matrix and the multi-step transition probability matrix. When the condTexture 发表于 2025-3-23 03:40:53
Course Relatedness Based on Concept Graph ModelingHowever, there are few researchers that concentrate on mining the relationship between courses. In this paper, we propose a method to compare relatedness between courses based on representing courses as concept graphs. The concept graph comprises not only the semantic relationship between concepts b打包 发表于 2025-3-23 07:39:26
Rating Personalization Improves Accuracy: A Proportion-Based Baseline Estimate Model for Collaboratind users. However, it doesn’t consider different users’ rating criterions and results in predictions may be out of recommendation’s rating range. In this paper, we propose a novel baseline estimate model to improve the current performance, named PBEModel (Proportion-based Baseline Estimate Model), w