標題: Titlebook: Advanced Data Mining and Applications; 16th International C Xiaochun Yang,Chang-Dong Wang,Zheng Zhang Conference proceedings 2020 Springer [打印本頁] 作者: 撒謊 時間: 2025-3-21 20:06
書目名稱Advanced Data Mining and Applications影響因子(影響力)
書目名稱Advanced Data Mining and Applications影響因子(影響力)學(xué)科排名
書目名稱Advanced Data Mining and Applications網(wǎng)絡(luò)公開度
書目名稱Advanced Data Mining and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advanced Data Mining and Applications被引頻次
書目名稱Advanced Data Mining and Applications被引頻次學(xué)科排名
書目名稱Advanced Data Mining and Applications年度引用
書目名稱Advanced Data Mining and Applications年度引用學(xué)科排名
書目名稱Advanced Data Mining and Applications讀者反饋
書目名稱Advanced Data Mining and Applications讀者反饋學(xué)科排名
作者: laparoscopy 時間: 2025-3-21 21:44
Subspace-Weighted Consensus Clustering for High-Dimensional Dataodellierungsinstrumentariums herausgestellt. Allerdings wird schnell deutlich, dass dieses Instrumentarium nicht nur die drei genannten Kritikpunkte heilen, sondern einen konsistenten Ansatz bilden muss, da bei isolierter L?sung der einzelnen Kritikpunkte eine Reihe von Implikationen entstehen k?nne作者: Hearten 時間: 2025-3-22 02:39
SS-AOE: Subspace Based Classification Framework for Avoiding Over-Confidence Errorsnfertigung eng mit der Planung einer termingerechten Materialbereitstellung und daher mit der betrieblichen Lagerhaltung verknüpft ist. Es liegt deshalb nahe, bestehende Lagerhaltungsmodelle auf ihre Einsatzf?higkeit bei projektorientierter Einzel- und Kleinserienfertigung zu untersuchen. In diese U作者: 翻動 時間: 2025-3-22 06:33
ATextCNN Model: A New Multi-classification Method for Police Situationnung und Kontrolle beispielsweise in den folgenden Bereichen der Betriebswirtschaftslehre:.Als wesentliche Aufgabenfelder des . gelten — ungeachtet der verschiedenen Schwerpunkte der aktuell diskutierten Controllingkonzeptionen — die Gestaltung und der laufende Betrieb von Planungs- und Kontrollsyst作者: 恩惠 時間: 2025-3-22 08:50 作者: Adenoma 時間: 2025-3-22 16:02 作者: 注視 時間: 2025-3-22 20:40 作者: 去才蔑視 時間: 2025-3-22 21:33 作者: gout109 時間: 2025-3-23 04:27
Advanced Data Mining and Applications978-3-030-65390-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 我正派 時間: 2025-3-23 07:26 作者: STIT 時間: 2025-3-23 12:39
,Russell’s discovery of the ‘paradoxes’, in recent years, the existing consensus clustering approaches are mostly designed for general-purpose scenarios, yet often lack the ability to effectively and efficiently deal with high-dimensional data. To this end, this paper proposes a subspace-weighted consensus clustering approach, which is ba作者: 發(fā)展 時間: 2025-3-23 16:06 作者: 鄙視 時間: 2025-3-23 21:38
Landon D. C. Elkind,Alexander Mugar Kleinnts from a set of points in a metric space with the smallest distance between them. This problem arises in a number of applications, such as but not limited to clustering, graph partitioning, image processing, patterns identification, and intrusion detection. Numerous algorithms have been presented 作者: essential-fats 時間: 2025-3-23 22:18
https://doi.org/10.1007/978-94-010-2723-6ention because they have the advantage of avoiding the combinatorial explosion of the HUI search space. Among evolutionary methods used for mining HUIs, particle swarm optimization (PSO) is the most popular. Existing PSO-based HUI mining (HUIM) algorithms transform positions according to the result 作者: 拋物線 時間: 2025-3-24 03:18 作者: Expand 時間: 2025-3-24 07:47 作者: Confidential 時間: 2025-3-24 11:53
Frauen - M?nner - Geschlechterverh?ltnisseonal methods of text classification. Deep learning models have been proven that is able to extract features from data effectively. In this paper, we propose a deep graph convolutional network model that construct graph base on words and documents. We construct a new text graph based on the relevance作者: Servile 時間: 2025-3-24 17:46
Frauen - M?nner - Geschlechterverh?ltnisseion tasks. Although there are some popular methods in obtaining semantics, current context semantic analysis techniques, due to limited accuracy, are still a great bottleneck for text classification. This paper introduces a novel model, the densely connected Bidirectional LSTM with Max-pooling of CN作者: 經(jīng)典 時間: 2025-3-24 20:01
https://doi.org/10.1007/978-3-658-42967-6By adapting advanced technologies, such as machine learning and deep learning, current sentence similarity computing methods mainly deal with key words and structures of sentences. The main drawback of current methods is taking no consideration of the influence of sentences context. In this paper, w作者: 冰河期 時間: 2025-3-24 23:58 作者: Monotonous 時間: 2025-3-25 03:57 作者: 暫時過來 時間: 2025-3-25 09:10 作者: 小母馬 時間: 2025-3-25 12:14
https://doi.org/10.1007/978-3-658-02792-6 that a better embedding method be used to optimize the corresponding objective function. There are two challenges associated with graph embedding. First, the optimization algorithm is based on gradient descent and falls easily into the local optimum. Second, whether the objective function design is作者: 某人 時間: 2025-3-25 18:39
https://doi.org/10.1007/978-3-658-02792-6s. The algorithm utilizes the graph attention mechanism to refresh embeddings efficiently, in which each update associate with local information only. To address the missing data, which is a common phenomenon in real-world networks, we model the auxiliary side information to capture more information作者: BOLT 時間: 2025-3-25 23:31
Problemstellung und Aufbau der Studie models, including link-preserving and Skip-Gram models, prove to be good approaches in both efficiency and accuracy on unsupervised tasks, even compared with state-of-the-art deep models. We first show that the optimization problem these models solve is equivalent to a Bayesian Inference problem, h作者: connoisseur 時間: 2025-3-26 00:29
Problemstellung und Aufbau der Studie user in real life or not. Because of the considerable increase in the number of created accounts in social networks, matching profiles across social networks has become a popular focus in a myriad of research works. Current methods in this field require accurate profile analysis to obtain a high us作者: arthroplasty 時間: 2025-3-26 04:25 作者: Oafishness 時間: 2025-3-26 09:00
978-3-030-65389-7Springer Nature Switzerland AG 2020作者: DUST 時間: 2025-3-26 16:01
,Russell’s discovery of the ‘paradoxes’,m subspaces, in which multiple base clusters can thereby be generated. Further, the reliability of each base clustering is evaluated and weighted by considering the reliability of the features in the corresponding subspace, after which a subspace-weighted bipartite graph can be constructed and effic作者: scrutiny 時間: 2025-3-26 19:34
https://doi.org/10.1007/978-94-011-8874-6an true affinity matrix for noisy instances. Then, in such a network, the sampling strategy based on influence maximization is used to select the most informative and representative instances at the same time from unlabeled data set. Finally, our empirical results demonstrate the effectiveness of ou作者: Latency 時間: 2025-3-27 00:33 作者: 檔案 時間: 2025-3-27 01:43 作者: coddle 時間: 2025-3-27 07:52 作者: Liability 時間: 2025-3-27 11:25
Problemstellung und Aufbau der Studieproposed our learning objective. Intuitively, graph nodes of the same concept are embedded close to each other. Our paper proposes a flexible framework which is adaptable to any other proximity-based models. Experiments show that our model significantly elevates the baseline performances of proximit作者: countenance 時間: 2025-3-27 14:29 作者: 竊喜 時間: 2025-3-27 21:03
Subspace-Weighted Consensus Clustering for High-Dimensional Dataiable in der Zielfunktion überflüssig und damit die herk?mmliche Schaltsteuerung der Ressourcen funktionsunf?hig. Da eine Abbildung der Schaltsteuerung aber z. B. zur Erfassung zeitabh?ngiger Kosten erforderlich ist, ergibt sich hieraus die Notwendigkeit zur Entwicklung einer ?zielfunktionsunabh?ngigen Schaltsteuerung“.作者: indigenous 時間: 2025-3-28 00:09
Elaborating the Bayesian Priors in?Unsupervised Graph Embedding via?Graph Conceptschgebiete verschaffen wollen. Es richtet sich bevorzugt an kommunale Handlungstr?ger und Akteure, an kommunalpolitisch Interessierte und Kommunalpolitiker, an Verbandsvertretungen, Bürgergruppen und Bürgerinitiativen sowie an die Bev?lkerung insgesamt - als von Planungsentscheidungen bzw. -wirkungen作者: 善于 時間: 2025-3-28 05:55
Tuser3: A Profile Matching Based Algorithm Across Three?Heterogeneous Social Networkst es, diese Lücke zu füllen. Da sich die Charakterisierung des Funkkanals für verschiedene Funksysteme nicht oder nur wenig unterscheidet, lassen sich die meisten der er?rterten Grundlagen und Verfahren auch auf andere Funksysteme, wie z.B. Rundfunk oder Richtfunk, anwenden.978-3-642-63812-1978-3-642-58980-5作者: Consensus 時間: 2025-3-28 06:33 作者: 平庸的人或物 時間: 2025-3-28 12:34
MSPP: A Highly Efficient and Scalable Algorithm for ,ining ,imilar ,airs of ,oints978-3-8348-9542-4作者: 抱狗不敢前 時間: 2025-3-28 15:57
Discovering High Utility Itemsets Using Set-Based Particle Swarm Optimization978-3-8348-9171-6作者: 惡名聲 時間: 2025-3-28 22:42 作者: 懶惰人民 時間: 2025-3-29 01:25
DGRL: Text Classification with Deep Graph Residual Learning978-3-322-98573-6作者: 失望昨天 時間: 2025-3-29 05:29
Densely Connected Bidirectional LSTM with Max-Pooling of CNN Network for Text Classification978-3-663-13135-9作者: 錢財 時間: 2025-3-29 09:08 作者: forecast 時間: 2025-3-29 14:06
Hierarchical and Pairwise Document Embedding for Plagiarism Detection978-3-322-86091-0作者: META 時間: 2025-3-29 16:39 作者: 犬儒主義者 時間: 2025-3-29 20:50 作者: 喪失 時間: 2025-3-30 01:49
Front Mattertudierende der Elektrotechnik, Ingenieure, Techniker und Praktiker aus den Bereichen Nieder- und Mittelspannungsanlagen, Erdungsanlagen, Netzschutz, Planung, Betrieb und Instandhaltung, Netzbetreiber, Beh?rden 978-3-662-56427-1作者: Sputum 時間: 2025-3-30 06:01 作者: 吸引力 時間: 2025-3-30 11:06
Conference proceedings 2020in November 2020..The 35 full papers presented together with 14 short papers papers were carefully reviewed and selected from 96 submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender Systems; Privacy and Secur作者: 我不怕犧牲 時間: 2025-3-30 12:25 作者: 浮雕寶石 時間: 2025-3-30 18:50 作者: semiskilled 時間: 2025-3-30 21:40
https://doi.org/10.1007/978-94-010-2723-6flect the diversity of the mining results, we propose the measure of the bit edit distance. Extensive experimental results show that the HUIM-SPSO algorithm is efficient and can discover more HUIs with a high degree of diversity.作者: Grasping 時間: 2025-3-31 02:38 作者: 閃光東本 時間: 2025-3-31 08:48 作者: FEMUR 時間: 2025-3-31 10:40 作者: 鐵塔等 時間: 2025-3-31 15:18
