標(biāo)題: Titlebook: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery; Volume 2 Yong Liu,Lipo Wang,Zhengtao Yu Conference proceedings 2020 [打印本頁(yè)] 作者: necrosis 時(shí)間: 2025-3-21 19:15
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery影響因子(影響力)
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery影響因子(影響力)學(xué)科排名
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery網(wǎng)絡(luò)公開度
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery被引頻次
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery被引頻次學(xué)科排名
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery年度引用
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery年度引用學(xué)科排名
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery讀者反饋
書目名稱Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery讀者反饋學(xué)科排名
作者: CRATE 時(shí)間: 2025-3-21 22:04 作者: 有法律效應(yīng) 時(shí)間: 2025-3-22 03:36 作者: 神刊 時(shí)間: 2025-3-22 08:08 作者: Insulin 時(shí)間: 2025-3-22 09:05 作者: 聚集 時(shí)間: 2025-3-22 13:20 作者: 極小 時(shí)間: 2025-3-22 20:13 作者: 減弱不好 時(shí)間: 2025-3-23 00:19 作者: 1分開 時(shí)間: 2025-3-23 04:49 作者: FLAX 時(shí)間: 2025-3-23 06:48
Privacy-Protected KNN Classification Algorithm Based on Negative DatabaseOverview: 作者: 閃光你我 時(shí)間: 2025-3-23 10:01 作者: Grasping 時(shí)間: 2025-3-23 16:37 作者: 持續(xù) 時(shí)間: 2025-3-23 19:37 作者: Merited 時(shí)間: 2025-3-24 00:11
Clustering Optimization and Evaluation of Campus Network User Behavior Analysis SystemOverview: 作者: DRAFT 時(shí)間: 2025-3-24 03:30 作者: 不溶解 時(shí)間: 2025-3-24 08:48
Semantic Knowledge Sharing Mechanism Based on BlockchainOverview: 作者: 商議 時(shí)間: 2025-3-24 11:10 作者: 小丑 時(shí)間: 2025-3-24 17:50 作者: Rodent 時(shí)間: 2025-3-24 20:48
Advances in Natural Computation, Fuzzy Systems and Knowledge DiscoveryVolume 2作者: 構(gòu)成 時(shí)間: 2025-3-25 02:45 作者: Engaged 時(shí)間: 2025-3-25 07:13 作者: 小樣他閑聊 時(shí)間: 2025-3-25 09:09
https://doi.org/10.1007/978-0-85729-835-5l sample problem in the matching recognition stage, a novel Bayesian face recognition approach based on feature fusion is proposed. In the feature extraction stage, the global non-linear feature is extracted by kernel principal component analysis (KPCA), and the local manifold structure information 作者: 流浪 時(shí)間: 2025-3-25 14:18 作者: 易受刺激 時(shí)間: 2025-3-25 19:04 作者: muscle-fibers 時(shí)間: 2025-3-25 23:31
https://doi.org/10.1007/978-3-031-41837-2d the collaborating partition matrixes (called knowledge) in the objective function. Given a partition matrix of a dataset, the matrix obtained by exchanging its rows arbitrarily is also a partition matrix of the dataset. These partition matrices are the same except the orders of the rows, thus they作者: 榮幸 時(shí)間: 2025-3-26 00:50 作者: Consensus 時(shí)間: 2025-3-26 06:01
https://doi.org/10.1007/978-3-031-41837-2d with sampling, .-means algorithm and agglomerative hierarchical method is proposed to analyze users’ behavior and classify users’ access objectives and habits, which can not only make clustering results more stable, but also enhance the analysis efficiency of the algorithm.作者: 委托 時(shí)間: 2025-3-26 09:20 作者: 剝皮 時(shí)間: 2025-3-26 14:54
Commercialization of Health Careg data platform. However, with the advent of the era of knowledge sharing 3.0, the knowledge value awareness of knowledge owners has generally increased, and it has become increasingly difficult to concentrate knowledge on centralized big data platforms. Blockchain technology is a decentralized and 作者: 上腭 時(shí)間: 2025-3-26 17:56 作者: 暖昧關(guān)系 時(shí)間: 2025-3-26 21:01
Michael A. Crew,Paul R. Kleindorfer is path-based reasoning that is to infer new relations by connecting other existing paths at a pair of entities. But this traditional method does not consider the reality of paths. In this paper, we propose a model that combines the reinforcement learning (RL) framework with soft rules to learn rea作者: Congregate 時(shí)間: 2025-3-27 02:31 作者: Halfhearted 時(shí)間: 2025-3-27 06:55
978-3-030-32590-9Springer Nature Switzerland AG 2020作者: Canary 時(shí)間: 2025-3-27 10:52 作者: Vldl379 時(shí)間: 2025-3-27 14:38
https://doi.org/10.1007/978-3-031-41837-2d with sampling, .-means algorithm and agglomerative hierarchical method is proposed to analyze users’ behavior and classify users’ access objectives and habits, which can not only make clustering results more stable, but also enhance the analysis efficiency of the algorithm.作者: barium-study 時(shí)間: 2025-3-27 20:59 作者: orthodox 時(shí)間: 2025-3-27 22:14
Yong Liu,Lipo Wang,Zhengtao YuDiscusses recent advances in natural computation, fuzzy systems and knowledge discovery.Presents the proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledg作者: Enteropathic 時(shí)間: 2025-3-28 04:17 作者: Thyroiditis 時(shí)間: 2025-3-28 06:36
Commercial and Military Uses of Outer Spaceutility sequential patterns (HAUSP) by considering the length of sequential patterns. Extensive experiments show that the total number of HAUSP mined by HAUSPM is fewer than HUSP under the same minimum utility.作者: Neutropenia 時(shí)間: 2025-3-28 13:48 作者: aspect 時(shí)間: 2025-3-28 15:42
https://doi.org/10.1007/978-0-85729-835-5hing recognition stage, a maximum entropy covariance selection (MECS) method is utilized to solve the small sample problem. Extensive experimental results on several datasets show that these two stages can significantly improve the accuracy of face recognition.作者: RUPT 時(shí)間: 2025-3-28 20:36
https://doi.org/10.1007/978-3-031-41837-2 we proposed a KNN classification algorithm based on the Euclidean distance formula on the negative database, which is used to complete the classification research under the premise of protecting data security. The experimental results show that the algorithm in this paper achieves high classification accuracy.作者: gout109 時(shí)間: 2025-3-29 00:35
Commercialization of Health Careansaction flow design based on the mechanism are realized. The experimental results show that the semantic knowledge sharing mechanism based on blockchain proposed is feasible, and compared with the traditional centralized knowledge graph, the construction time and query rate are greatly improved.作者: Cardiac 時(shí)間: 2025-3-29 05:00 作者: Cryptic 時(shí)間: 2025-3-29 07:54
Conference proceedings 2020the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.作者: PTCA635 時(shí)間: 2025-3-29 15:12 作者: Mhc-Molecule 時(shí)間: 2025-3-29 17:02
https://doi.org/10.1007/978-0-230-37048-7allenges for generating all maximal bicliques. In this paper, we propose that (1) an efficient implementation for pruning technique based on the stack when checking nodes are closed or not, (2) a new method to manage the expansion child nodes through a global data structure.作者: Wordlist 時(shí)間: 2025-3-29 22:23 作者: exercise 時(shí)間: 2025-3-30 03:19
https://doi.org/10.1007/978-3-031-41837-2 are often multiple areas of interest between users. Based on this reality, this paper proposes a multi-interest domain recommendation framework based on trust relationship, and obtains better recommendation effect by solving the trust relationship. The experimental results show that the proposed method is superior to the traditional methods.作者: FLUSH 時(shí)間: 2025-3-30 04:13
9樓作者: aphasia 時(shí)間: 2025-3-30 08:51
9樓作者: 蛤肉 時(shí)間: 2025-3-30 14:15
10樓作者: 議程 時(shí)間: 2025-3-30 20:35
10樓作者: d-limonene 時(shí)間: 2025-3-30 23:41
10樓作者: 啞劇 時(shí)間: 2025-3-31 04:55
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