標(biāo)題: Titlebook: Data Mining and Big Data; Third International Ying Tan,Yuhui Shi,Qirong Tang Conference proceedings 2018 Springer International Publishing [打印本頁(yè)] 作者: antibody 時(shí)間: 2025-3-21 19:45
書(shū)目名稱(chēng)Data Mining and Big Data影響因子(影響力)
書(shū)目名稱(chēng)Data Mining and Big Data影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Data Mining and Big Data網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Data Mining and Big Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Data Mining and Big Data被引頻次
書(shū)目名稱(chēng)Data Mining and Big Data被引頻次學(xué)科排名
書(shū)目名稱(chēng)Data Mining and Big Data年度引用
書(shū)目名稱(chēng)Data Mining and Big Data年度引用學(xué)科排名
書(shū)目名稱(chēng)Data Mining and Big Data讀者反饋
書(shū)目名稱(chēng)Data Mining and Big Data讀者反饋學(xué)科排名
作者: 冰河期 時(shí)間: 2025-3-21 21:36
Methodology for the Reduction and Integration of Data in the Performance Measurement of Industries Crial strategies, of easy mensuration as a result, automatic and that it facilitates to summarize a big amount of criteria and data, through their standardization, and thus the realization of comparisons with other production plants.作者: Chemotherapy 時(shí)間: 2025-3-22 04:03 作者: Coronation 時(shí)間: 2025-3-22 05:11
Conference proceedings 2018in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification,作者: Promotion 時(shí)間: 2025-3-22 12:40 作者: 全部逛商店 時(shí)間: 2025-3-22 16:47 作者: 全部逛商店 時(shí)間: 2025-3-22 17:35
Steve Taylor,Tim Matton-Johnsonthods of cluster analysis, classification and regression to this data matrix in order to organize semantic space of cases and thus increase the relevance of their retrieval. We explore possibilities of fuzzy logic approaches for building fuzzy rules and classification trees.作者: 形容詞 時(shí)間: 2025-3-22 21:16
A Comparative Study Between Feature Selection Algorithmstative task in the elimination of noise, in order to improve the quality of the dataset. Subsequently, each algorithm is described in order that the reader understands its function. Then the algorithms are applied using different data sets and obtaining the results in the selection. Finally, the conclusions of this investigation are presented.作者: conifer 時(shí)間: 2025-3-23 05:07
Combination of Case-Based Reasoning and Data Mining Through Integration with the Domain Ontologythods of cluster analysis, classification and regression to this data matrix in order to organize semantic space of cases and thus increase the relevance of their retrieval. We explore possibilities of fuzzy logic approaches for building fuzzy rules and classification trees.作者: 斜 時(shí)間: 2025-3-23 06:19 作者: 平淡而無(wú)味 時(shí)間: 2025-3-23 11:34 作者: 雀斑 時(shí)間: 2025-3-23 17:41 作者: Inexorable 時(shí)間: 2025-3-23 19:44 作者: 油膏 時(shí)間: 2025-3-23 22:11 作者: Immobilize 時(shí)間: 2025-3-24 02:32
https://doi.org/10.1007/978-1-4039-1376-0mentation and the matrix of rotated components. As a result, we obtain that external factors have a significant impact on the assessment of the level of psychosocial risks. The external variables found are: education, health care services, housing conditions, means of transport, living conditions.作者: 危機(jī) 時(shí)間: 2025-3-24 08:03
A Comparative Study of Network Embedding Based on Matrix Factorizationular, node2vec exhibits relatively reliable performance in the multi-label classification application, while HOPE demonstrates success in the link prediction application. Moreover, we provide suggestions on how to choose a method for practical purposes in terms of accuracy, speed, stability, and prior knowledge requirement.作者: 發(fā)芽 時(shí)間: 2025-3-24 11:23 作者: hazard 時(shí)間: 2025-3-24 14:59 作者: plasma 時(shí)間: 2025-3-24 20:13 作者: Pageant 時(shí)間: 2025-3-25 01:22 作者: Cuisine 時(shí)間: 2025-3-25 07:04 作者: 小教堂 時(shí)間: 2025-3-25 08:52 作者: 反應(yīng) 時(shí)間: 2025-3-25 12:40
Adjustment to Empire, 1763–1770 attribute similarity and item similarity to improve the accuracy of similarity. Experiments using two reals datasets show that the proposed method relieves cold start and data sparsity issues and improves the prediction accuracy and recommendation quality.作者: Arctic 時(shí)間: 2025-3-25 16:05 作者: 燒瓶 時(shí)間: 2025-3-25 20:58 作者: 豐滿(mǎn)有漂亮 時(shí)間: 2025-3-26 01:06
Explainable Matrix Factorization with Constraints on Neighborhood in the Latent Space change the method of calculation of the explainability matrix and consider the neighbors’ weight to further improve performance. We use the benchmark data set (MovieLens) to demonstrate the effectiveness of the proposed Neighborhood-based Explainable Matrix Factorization. And the result shows a great improvement for accuracy and explainability.作者: 模仿 時(shí)間: 2025-3-26 05:05
An Entropy-Based Similarity Measure for Collaborative Filteringmation entropy. Performance of the proposed measure is investigated through various experiments to find that it outperforms the existing similarity measures especially in a small-scaled sparse dataset.作者: 誘惑 時(shí)間: 2025-3-26 10:48
Three-Segment Similarity Measure Model for Collaborative Filtering attribute similarity and item similarity to improve the accuracy of similarity. Experiments using two reals datasets show that the proposed method relieves cold start and data sparsity issues and improves the prediction accuracy and recommendation quality.作者: FLUSH 時(shí)間: 2025-3-26 13:29 作者: 消耗 時(shí)間: 2025-3-26 17:05 作者: clarify 時(shí)間: 2025-3-26 22:34 作者: 逢迎春日 時(shí)間: 2025-3-27 04:35 作者: 有其法作用 時(shí)間: 2025-3-27 06:33
https://doi.org/10.1007/978-1-349-26050-8nner in three production sectors that are of high risk: the electric power production sector, cement production and oil refining sector, so the main objective is focused on identifying the influential variables and the regression model that best explains the accident in each of these sectors and per作者: Hangar 時(shí)間: 2025-3-27 11:50 作者: 孵卵器 時(shí)間: 2025-3-27 15:03
Justice in a Country with an Irregular Warfeatures, estimation of distribution algorithms, and the bootstrapping algorithm. Likewise, the features selection is highlighted as the most representative task in the elimination of noise, in order to improve the quality of the dataset. Subsequently, each algorithm is described in order that the r作者: ERUPT 時(shí)間: 2025-3-27 19:39 作者: misshapen 時(shí)間: 2025-3-27 23:30
Alessio Vinci,Mark H. Hanna,Alessio Pigazziations of the nodes of a network in a low dimensional vector space, so that the network structural information and properties are maximally preserved. In this paper, we present a review of the latest developments on this topic. We compare modern methods based on matrix factorization, including GraRe作者: Onerous 時(shí)間: 2025-3-28 04:17 作者: bromide 時(shí)間: 2025-3-28 09:16
Topographic Anatomy in Proctologic Surgeryplicit ratings is not always consistent, because many factors may affect the user’s final evaluation on an item, including commercial advertising and a friend’s recommendation. Therefore, mining the reliable ratings of user is critical to further improve the performance of the recommender system. In作者: INCH 時(shí)間: 2025-3-28 10:44
King William’s War and Queen Anne’s War in this technique, as items preferred by similar users are to be recommended. Although various similarity measures have been developed, they usually treat each pair of user ratings separately or simply combine additional heuristic information with traditional similarity measures. This paper address作者: ABIDE 時(shí)間: 2025-3-28 15:26
Adjustment to Empire, 1763–1770similarities among users by using ratings information so that system can predict user preferences. However, most similarity measures are not efficient enough in the face of cold start and data sparsity problem. To measure user similarity comprehensively and objectively, this paper introduces a segme作者: RADE 時(shí)間: 2025-3-28 20:39 作者: forebear 時(shí)間: 2025-3-29 01:37
Steve Taylor,Tim Matton-Johnson, as a result, gives a numerical matrix that characterize the semantic relationship of cases with the domain concepts. Then it is possible to apply methods of cluster analysis, classification and regression to this data matrix in order to organize semantic space of cases and thus increase the releva作者: 良心 時(shí)間: 2025-3-29 05:15
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/262921.jpg作者: 加強(qiáng)防衛(wèi) 時(shí)間: 2025-3-29 08:45
https://doi.org/10.1007/978-3-319-93803-5artificial intelligence; data mining; information retrieval; internet; classification; World Wide Web; soc作者: 分貝 時(shí)間: 2025-3-29 12:33
978-3-319-93802-8Springer International Publishing AG, part of Springer Nature 2018作者: APNEA 時(shí)間: 2025-3-29 19:17
Data Mining and Big Data978-3-319-93803-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: CHIDE 時(shí)間: 2025-3-29 20:43 作者: Myocyte 時(shí)間: 2025-3-30 03:00
Profiling Analysis of 10 Years of Rare Disease Research Using Scientific LiteratureIn total of 15228 articles from Web of Science and 21638 articles from PubMed were collected for analysis. During this 10-year retrospective review, we profiled the rare disease research from 3 perspectives: the scale of publications, the research domains along with key topics of rare diseases resea作者: 堅(jiān)毅 時(shí)間: 2025-3-30 07:39 作者: 使入迷 時(shí)間: 2025-3-30 09:27 作者: 凈禮 時(shí)間: 2025-3-30 14:25
Models of Multivariate Regression for Labor Accidents in Different Production Sectors: Comparative Snner in three production sectors that are of high risk: the electric power production sector, cement production and oil refining sector, so the main objective is focused on identifying the influential variables and the regression model that best explains the accident in each of these sectors and per作者: 越自我 時(shí)間: 2025-3-30 20:10 作者: Obedient 時(shí)間: 2025-3-30 21:26
A Comparative Study Between Feature Selection Algorithmsfeatures, estimation of distribution algorithms, and the bootstrapping algorithm. Likewise, the features selection is highlighted as the most representative task in the elimination of noise, in order to improve the quality of the dataset. Subsequently, each algorithm is described in order that the r作者: 一再煩擾 時(shí)間: 2025-3-31 01:33
