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標(biāo)題: Titlebook: Big Data; 9th CCF Conference, Xiangke Liao,Wei Zhao,Dan Huang Conference proceedings 2022 Springer Nature Singapore Pte Ltd. 2022 artifici [打印本頁]

作者: 無法仿效    時間: 2025-3-21 18:45
書目名稱Big Data影響因子(影響力)




書目名稱Big Data影響因子(影響力)學(xué)科排名




書目名稱Big Data網(wǎng)絡(luò)公開度




書目名稱Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data被引頻次




書目名稱Big Data被引頻次學(xué)科排名




書目名稱Big Data年度引用




書目名稱Big Data年度引用學(xué)科排名




書目名稱Big Data讀者反饋




書目名稱Big Data讀者反饋學(xué)科排名





作者: 坦白    時間: 2025-3-21 22:42

作者: 涂掉    時間: 2025-3-22 01:10
Comparative Analysis of Hadoop MapReduce and Spark Based on People’s Livelihood Appeal Dataisk, and reveals much higher efficiency in data processing. In this paper, we will conduct comparative analysis of Hadoop MapReduce and Spark based on people’s Livelihood appeal data which is obtained from Pingshan district, Shenzhen, China.
作者: 矛盾    時間: 2025-3-22 05:04
Automatic Classification of Medicinal Plants of Leaf Images Based on Convolutional Neural Networkifferent feature extraction methods and classification algorithms. In this paper, a novel dataset, which was based on Ethiopian medicinal plants, that use the leaf part of the plant, as a medicine was used to automatically classify the plants accordingly using their leaf image. An attempt has been m
作者: 小說    時間: 2025-3-22 08:54

作者: 嚙齒動物    時間: 2025-3-22 16:46
Attention-Based Iterated Dilated Convolutional Neural Networks for Joint Intent Classification and Sworks model, there are less linear structures, and the parallel efficiency of program execution is higher. Experimental results demonstrate that our joint training model outperforms the accuracy compared to the baseline models on benchmark ATIS and Snips datasets respectively.
作者: MILK    時間: 2025-3-22 20:47
Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processer and sensitive phase extraction layer. The feature extraction layer is to overcome the non-linear problem in the injection molding process, the three-way data and the unequal length issue are addressed by the long short-term memory network. The key time node extraction layer extracts crucial point
作者: 不要不誠實    時間: 2025-3-22 22:19

作者: Alopecia-Areata    時間: 2025-3-23 04:00

作者: Offensive    時間: 2025-3-23 07:54
https://doi.org/10.1007/978-3-030-20202-6ns from TCM data and explored the latent patterns and knowledge of it. The results of this paper is helpful to verify the TCM theory and provide assistance and reference to the clinical process. In order to increase the practicability of our discoveries, we developed a system to provide data explora
作者: Prostaglandins    時間: 2025-3-23 12:31

作者: CRAMP    時間: 2025-3-23 15:52

作者: myelography    時間: 2025-3-23 21:15
https://doi.org/10.1007/978-3-540-74559-4ction loss and feature loss between the original signal of the reconstructed signal based on the ODGM on normal samples for anomaly point identification in the test data. The effectiveness and superiority of the proposed model is validated and compared with other representative deep learning-based n
作者: 發(fā)酵劑    時間: 2025-3-24 00:39

作者: FOLLY    時間: 2025-3-24 02:37
Expressions and Function Procedureser and sensitive phase extraction layer. The feature extraction layer is to overcome the non-linear problem in the injection molding process, the three-way data and the unequal length issue are addressed by the long short-term memory network. The key time node extraction layer extracts crucial point
作者: HAIL    時間: 2025-3-24 07:59

作者: Anterior    時間: 2025-3-24 12:12
In-Depth Integration and Exploration Practice of “Rain Classroom” in the Teaching of Big Data Courses to build a Multidimensional teaching atmosphere, through the implementation of a new type of big data course experiment plan, ultimately strengthen students’ hands-on practice ability, and cultivate a group of cross-integrated big data talents who can understand the professional terminology of doc
作者: defibrillator    時間: 2025-3-24 17:56
Research on Hadoop Task Scheduling Problem Based on Hybrid Whale Optimization-Genetic Algorithmortest time, which is a NP hard problem. In this paper, a Hybrid Whale Optimization-Genetic Algorithm (HWO-GA) algorithm is proposed to solve the task scheduling problem. The new HWO-GA algorithm introduces the mutation and crossover operator of Genetic Algorithm (GA) to overcome the defect that the
作者: mechanism    時間: 2025-3-24 21:26
Towards Indonesian Phrase Extraction: Framework and Corpusconducted for low-resource languages such as Indonesian. To the best of our knowledge, there is no evaluation dataset available for phrase extraction task in Indonesian. Phrase extraction is a challenging task for Indonesian due to the lack of language analyzing tools and large data set. Therefore,
作者: MAIZE    時間: 2025-3-24 23:10
A Review of Data Fusion Techniques for Government Big Datal management and public services. Government big data refers to various information resources such as documents, forms, or charts generated or obtained by government departments in the process of performing their duties. Government data is large in scale, various sourced, and diverse, so there are s
作者: 樂器演奏者    時間: 2025-3-25 06:37

作者: Diastole    時間: 2025-3-25 09:24
Comparative Analysis of Hadoop MapReduce and Spark Based on People’s Livelihood Appeal Datark are two widely studied and utilized frameworks for distributed data processing. Hadoop is a disk-based storage and processing system which could break down large dataset into smaller pieces and carry out data processing parallelly. However, especially for the programming framework of MapReduce, i
作者: 原告    時間: 2025-3-25 11:48

作者: Incorporate    時間: 2025-3-25 18:31
Automatic Classification of Medicinal Plants of Leaf Images Based on Convolutional Neural Networkuld face climate changes. Concerning their medicinal abilities, limited access to proper medical centers in many rural areas and developing countries made traditional medicine preferable by the community. In addition, their lower side effect and affordability also plays a big role. More than half of
作者: Awning    時間: 2025-3-25 20:11
Novelty Detection-Based Automated Anomaly Identification via Optimized Deep Generative Model As an anomaly detection method, novelty detection only uses normal samples for model learning, which can well fit most of the natural scenes that the amount of abnormal samples is in fact strongly insufficient, such as network intrusion detection, industrial fault detection, and so on, due to the r
作者: 獨輪車    時間: 2025-3-26 03:45

作者: 可能性    時間: 2025-3-26 05:25

作者: intellect    時間: 2025-3-26 12:09

作者: 支架    時間: 2025-3-26 13:32

作者: 凹槽    時間: 2025-3-26 18:49
Traffic Knowledge Graph Based Trajectory Destination Predictionaffic network are affected by the surrounding points of interest(POI) and functional regions, resulting in the low accuracy of destination prediction. Furthermore, the sparsity of the trajectory data also affects the accuracy. Therefore, it is a big challenge to predict the destination more accurate
作者: 放縱    時間: 2025-3-26 22:35
Aligning Networks by Maximizing Topological Consistency Between Neighborhoodsondence across different networks, and could be applied to many researches including anchor link prediction on social networks, inter-network connectivity of molecular networks and information diffusion across networks. Traditionally, network alignment techniques utilize topology information, especi
作者: NAG    時間: 2025-3-27 01:26

作者: tooth-decay    時間: 2025-3-27 07:22
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/185572.jpg
作者: 官僚統(tǒng)治    時間: 2025-3-27 10:29

作者: outer-ear    時間: 2025-3-27 16:16
Conference proceedings 2022-19 pandemic BigData 2021 was postponed to 2022.?.The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on?theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.?.
作者: 洞察力    時間: 2025-3-27 19:36
https://doi.org/10.1007/978-981-16-9709-8artificial intelligence; computer hardware; computer networks; computer systems; computer vision; data mi
作者: ostracize    時間: 2025-3-27 23:55

作者: clarify    時間: 2025-3-28 04:21

作者: HAWK    時間: 2025-3-28 09:18

作者: amyloid    時間: 2025-3-28 12:30

作者: 清醒    時間: 2025-3-28 18:04
The Eye as a Window to the Worldl management and public services. Government big data refers to various information resources such as documents, forms, or charts generated or obtained by government departments in the process of performing their duties. Government data is large in scale, various sourced, and diverse, so there are s
作者: penance    時間: 2025-3-28 18:52
https://doi.org/10.1007/978-3-030-20202-6hich is a part of Chinese culture. There have been some related works to analyze TCM data but lack comprehensive insights. With the development of big data analysis technology, it brings new ways to get deep insights from TCM data. In this work, we applied big data techniques to explore the latent k
作者: Hectic    時間: 2025-3-29 02:49
Transistor Scaling to the Limitrk are two widely studied and utilized frameworks for distributed data processing. Hadoop is a disk-based storage and processing system which could break down large dataset into smaller pieces and carry out data processing parallelly. However, especially for the programming framework of MapReduce, i
作者: biosphere    時間: 2025-3-29 06:17

作者: 失望未來    時間: 2025-3-29 07:15
Silicon: Child and Progenitor of Revolutionuld face climate changes. Concerning their medicinal abilities, limited access to proper medical centers in many rural areas and developing countries made traditional medicine preferable by the community. In addition, their lower side effect and affordability also plays a big role. More than half of
作者: 花費    時間: 2025-3-29 14:17
https://doi.org/10.1007/978-3-540-74559-4 As an anomaly detection method, novelty detection only uses normal samples for model learning, which can well fit most of the natural scenes that the amount of abnormal samples is in fact strongly insufficient, such as network intrusion detection, industrial fault detection, and so on, due to the r
作者: 小丑    時間: 2025-3-29 17:43

作者: Ceremony    時間: 2025-3-29 22:57
Hybrid CMOS/Molecular Integrated Circuitst filling are closely related, the joint model for intent classification and slot filling has been proposed to improve the accuracy of separate modeling. The prevalent joint learning method is mainly to turn the input sequence into a variable length output via a recurrent neural networks model. Howe
作者: 周年紀(jì)念日    時間: 2025-3-30 02:04

作者: fringe    時間: 2025-3-30 06:02
Expressions and Function Proceduresroduct testing in the injection molding is usually carried out in a laboratory, which presents a severe delay issue and is of considerable cost. Moreover, it is often difficult for such products to install equipment for online real-time measuring. Process data and empirical knowledge plays a critica
作者: prosperity    時間: 2025-3-30 12:05

作者: 使迷醉    時間: 2025-3-30 13:56
Jon Whittle,Maria Angela Ferrario,Will Simmondence across different networks, and could be applied to many researches including anchor link prediction on social networks, inter-network connectivity of molecular networks and information diffusion across networks. Traditionally, network alignment techniques utilize topology information, especi
作者: PACK    時間: 2025-3-30 18:40

作者: 別名    時間: 2025-3-30 21:56

作者: MANIA    時間: 2025-3-31 01:32

作者: NOCT    時間: 2025-3-31 05:02

作者: 諷刺滑稽戲劇    時間: 2025-3-31 10:22
https://doi.org/10.1007/978-3-030-20202-6 traditional Whale Optimization Algorithm (WOA) is easy to fall into local optimal solution, so as to increase the global optimization ability of the algorithm. Experiments show that the HWO-GA algorithm has better convergence and optimization ability than the traditional WOA and GA algorithms, and can make more full use of shared resources.
作者: DIKE    時間: 2025-3-31 14:49
The Economic Implications of Moore’s Lawtency method and prior knowledge. We design an adaptive search strategy, a balanced search space, and a multi-object optimization to generate a robust and efficient small model in NAS-SA. The image and text classification tasks proved that our NAS-SA method had achieved the best performance.




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