標(biāo)題: Titlebook: Big Data Technology and Applications; First National Confe Wenguang Chen,Guisheng Yin,Zeguang Lu Conference proceedings 2016 Springer Scien [打印本頁(yè)] 作者: 雜技演員 時(shí)間: 2025-3-21 17:22
書目名稱Big Data Technology and Applications影響因子(影響力)
書目名稱Big Data Technology and Applications影響因子(影響力)學(xué)科排名
書目名稱Big Data Technology and Applications網(wǎng)絡(luò)公開度
書目名稱Big Data Technology and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data Technology and Applications被引頻次
書目名稱Big Data Technology and Applications被引頻次學(xué)科排名
書目名稱Big Data Technology and Applications年度引用
書目名稱Big Data Technology and Applications年度引用學(xué)科排名
書目名稱Big Data Technology and Applications讀者反饋
書目名稱Big Data Technology and Applications讀者反饋學(xué)科排名
作者: Axon895 時(shí)間: 2025-3-21 22:58 作者: 獨(dú)特性 時(shí)間: 2025-3-22 03:03 作者: Confound 時(shí)間: 2025-3-22 05:17
Design and Implementation of a Project Management System Based on Product Data Management on the Bap of the Baidu cloud computing platform. It can provide a reference for small- and medium-sized enterprises seeking to implement information systems with high efficiency and at low cost in the age of big data.作者: 冒煙 時(shí)間: 2025-3-22 11:37
Using Class Based Document Frequency to Select Features in Text Classification,ion metric, we, therefore, propose a class based document frequency strategy to further refine the original DF to some extent. Extensive experiments on three text classification datasets demonstrate the effectiveness of the proposed measures.作者: Thrombolysis 時(shí)間: 2025-3-22 16:38 作者: stratum-corneum 時(shí)間: 2025-3-22 17:43
https://doi.org/10.1007/978-3-319-64403-5ccessing operation under any different storage strategies and parameters. Simulation experiments shows that strategies proposed in this paper saves 20?%–35?% energy than traditional HDFS and 99.9?% responding time of reading files will not be affected, with an average of 0.008?%–0.036?% time delay.作者: Assault 時(shí)間: 2025-3-23 00:31
Cybersemiotics in the Information Age,oothing (SES), Double exponential smoothing (DES), Triple exponential smoothing (TES) and Autoregressive integrated moving average (ARIMA) are used in our experiments. Our experimental results suggest that we can achieve good forecast result for 135?min in future.作者: 付出 時(shí)間: 2025-3-23 02:05
Cyclotomic Fields of Class Number One,p of the Baidu cloud computing platform. It can provide a reference for small- and medium-sized enterprises seeking to implement information systems with high efficiency and at low cost in the age of big data.作者: 狗窩 時(shí)間: 2025-3-23 08:26
The CCR Model and Production Correspondence,ion metric, we, therefore, propose a class based document frequency strategy to further refine the original DF to some extent. Extensive experiments on three text classification datasets demonstrate the effectiveness of the proposed measures.作者: 諂媚于人 時(shí)間: 2025-3-23 10:09
1865-0929 pplications, BDTA 2015, held in Harbin, China, in December2015...The 26revised papers presented were carefully reviewed and selected from numeroussubmissions. The papers address issues such as the storage technology of Big Data;analysis of Big Data and data mining; visualization of Big Data; the par作者: 背信 時(shí)間: 2025-3-23 16:06 作者: 配置 時(shí)間: 2025-3-23 21:34
Cybersemiotics in the Information Age,e a pairwise-based learning algorithm to learn our model and take the zero-sampling method to improve our model. In addition, we propose a text modeling method making the recommendations more explicable. It is proved that our system performs better than other state-of-art methods.作者: Communal 時(shí)間: 2025-3-24 01:28
https://doi.org/10.1007/978-1-4684-0133-2ing signature using low-density generator-matrix codes. Our new scheme satisfies anonymity and existential unforgeability under chosen message attacks (EUF-CMA). As for efficiency, the number of decoding operations has been reduced largely compared with ZLC ring signature, and the size of the public key is about 0.2?% of the ZLC scheme.作者: 譏笑 時(shí)間: 2025-3-24 04:11 作者: OASIS 時(shí)間: 2025-3-24 09:49 作者: esoteric 時(shí)間: 2025-3-24 11:23 作者: Counteract 時(shí)間: 2025-3-24 18:02 作者: 沒血色 時(shí)間: 2025-3-24 21:29
Computer Assisted Language Testing and the Washback Effect on Language Learning,ning, we may provide some suggestions in order to improve college students’ English abilities and relevant technology of computing test. Therefore, the basis of carrying out this kind of test effectively is provided.作者: Commentary 時(shí)間: 2025-3-24 23:29 作者: Chauvinistic 時(shí)間: 2025-3-25 04:16
Conference proceedings 2016the storage technology of Big Data;analysis of Big Data and data mining; visualization of Big Data; the parallelcomputing framework under Big Data; the architecture and basic theory of BigData; collection and preprocessing of Big Data; innovative applications in someareas, such as internet of things and cloud computing..作者: ARC 時(shí)間: 2025-3-25 11:10
Block Ciphers and Modes of Operation, the visual analysis and uncertainty measure theory combined with parallel coordinates, radar chart, histogram, pixel chart and good interaction. At the same time, the data source expression clearly shows the uncertainty and hidden information as an information base for passengers’ service recommendations.作者: Fantasy 時(shí)間: 2025-3-25 14:15 作者: 灰姑娘 時(shí)間: 2025-3-25 19:22 作者: 鞭子 時(shí)間: 2025-3-25 21:37 作者: 闡明 時(shí)間: 2025-3-26 01:51
Undergraduate Texts in Mathematicse master node is reduced. Also file block update strategy and fault recovery mechanism are provided to solve the management bottleneck problem of traditional storage system on the data update and fault recovery and offer feasible technical solutions to storage management for big data.作者: 仲裁者 時(shí)間: 2025-3-26 07:46
Incident Handling and System Availability,diate results of query cached in memory as resilient distributed dataset to reduce disk and network I/O. The results of experiments conducted on large-scale RDF datasets show that RQCCP has high query performance.作者: 玩忽職守 時(shí)間: 2025-3-26 09:51
-adic ,-functions and Bernoulli Numbers,d based on Spark framework, which improves the processing performance on the premise of the accuracy of clustering results. The experimental results show that the SparkSCAN have a good performance, and can effectively deal with the problem of clustering algorithm for large-scale directed graph.作者: artifice 時(shí)間: 2025-3-26 14:14
Big Data Storage Architecture Design in Cloud Computing,e master node is reduced. Also file block update strategy and fault recovery mechanism are provided to solve the management bottleneck problem of traditional storage system on the data update and fault recovery and offer feasible technical solutions to storage management for big data.作者: Parley 時(shí)間: 2025-3-26 17:34 作者: 檢查 時(shí)間: 2025-3-26 21:51
SparkSCAN: A Structure Similarity Clustering Algorithm on Spark,d based on Spark framework, which improves the processing performance on the premise of the accuracy of clustering results. The experimental results show that the SparkSCAN have a good performance, and can effectively deal with the problem of clustering algorithm for large-scale directed graph.作者: Flinch 時(shí)間: 2025-3-27 05:05
Visual Analysis for Civil Aviation Passenger Reservation Data Characteristics Based on Uncertainty the visual analysis and uncertainty measure theory combined with parallel coordinates, radar chart, histogram, pixel chart and good interaction. At the same time, the data source expression clearly shows the uncertainty and hidden information as an information base for passengers’ service recommendations.作者: 巧辦法 時(shí)間: 2025-3-27 05:52
Personalized Recommendation System on Hadoop and HBase, database can effectively solve the problem of mass data storage, using the MapReduce programming model of Hadoop platform parallel processing recommendation problem, can significantly improve the efficiency of the algorithm, so as to further improve the performance of personalized recommendation system.作者: 平項(xiàng)山 時(shí)間: 2025-3-27 11:27 作者: Recessive 時(shí)間: 2025-3-27 16:41 作者: 新鮮 時(shí)間: 2025-3-27 21:38
1865-0929 allelcomputing framework under Big Data; the architecture and basic theory of BigData; collection and preprocessing of Big Data; innovative applications in someareas, such as internet of things and cloud computing..978-981-10-0456-8978-981-10-0457-5Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Diluge 時(shí)間: 2025-3-28 00:00
Space Groups II: International Tables,ying behavior, which to some extent solve a long-span composite purchasing behavior prediction. It shows that this method improves the purchasing behavior prediction accuracy effectively through experiments.作者: JUST 時(shí)間: 2025-3-28 05:00 作者: 廣大 時(shí)間: 2025-3-28 07:20 作者: 責(zé)難 時(shí)間: 2025-3-28 12:58 作者: biopsy 時(shí)間: 2025-3-28 17:51
Rough Control Rule Mining Model Based on Decision Interval Concept Lattice and Its Application, control association rule base in end. Analysis shows that under the premise of improving the reliability of rules, we have achieved the rough control optimization goal between cost and efficiency. Finally, the model of reservoir scheduling has verified its feasibility and efficiency.作者: 擺動(dòng) 時(shí)間: 2025-3-28 19:06
Using Distant Supervision and Paragraph Vector for Large Scale Relation Extraction,tely utilize sentence-level features. Meanwhile, we extend feature set by paragraph vector, which carries semantic information of sentences. We conduct an extensive empirical study to verify our contributions. The result shows our method is superior to the state-of-the-art distant supervised baseline.作者: 獨(dú)白 時(shí)間: 2025-3-29 02:23 作者: 擦試不掉 時(shí)間: 2025-3-29 04:27 作者: 咒語(yǔ) 時(shí)間: 2025-3-29 08:09 作者: TOM 時(shí)間: 2025-3-29 15:01 作者: intoxicate 時(shí)間: 2025-3-29 16:27 作者: 土坯 時(shí)間: 2025-3-29 21:32 作者: 模仿 時(shí)間: 2025-3-30 01:04
Energy Conservation Strategy for Big News Data on HDFS, order to reduce energy consumption of big news data storage system. First, divide all data nodes into real-time responding hot data nodes and standby cold data nodes. To make a good balance between data access performance and energy-conservation, this paper takes two strategies of priority allocati作者: 露天歷史劇 時(shí)間: 2025-3-30 04:27 作者: Monotonous 時(shí)間: 2025-3-30 09:17
Rough Control Rule Mining Model Based on Decision Interval Concept Lattice and Its Application,t lattice, further more, we also have built a rules mining model of rough control based on decision interval concept lattice, in order to achieve the optimality between rough control mining cost and control efficiency. Firstly, we have preprocessed the collected original data, so that we can transfo作者: inundate 時(shí)間: 2025-3-30 15:31 作者: 一致性 時(shí)間: 2025-3-30 17:36
A Distributed Query Method for RDF Data on Spark,lgorithm RQCCP (RDF data Query combined with Classes Correlations with Property) on Spark platform is proposed to solve the problem of low efficiency for RDF data query. It splits and stores RDF data by the class of Subject, Predicate and the class of Object, simultaneously building index file of cl作者: notice 時(shí)間: 2025-3-30 23:27
Real-Time Monitoring and Forecast of Active Population Density Using Mobile Phone Data,accident caused by abnormal population aggregation. Active population is defined as the number of people with their mobile phone powered on. Recently, an unfortunate deadly stampede occurred in Shanghai on December 31th 2014 causing the death of 39 people. We hope that our research can help avoid si作者: Expertise 時(shí)間: 2025-3-31 03:10 作者: Anal-Canal 時(shí)間: 2025-3-31 05:15
Design and Implementation of a Project Management System Based on Product Data Management on the Baplatform, this research analyses the business process and function of complex product project management in PDM, and proposes a PMS-based organizational structure for such a project. This model consists of a task view, user view, role view, and product view. In addition, it designs the function stru作者: MAIM 時(shí)間: 2025-3-31 10:36 作者: entrance 時(shí)間: 2025-3-31 16:28
SparkSCAN: A Structure Similarity Clustering Algorithm on Spark,ve data processing. A distributed parallel algorithm of structure similarity clustering on Spark (SparkSCAN) is proposed to solve these problems: considering the interaction between nodes in the network, the similar structure of nodes are clustered together; Aiming at the large-scale characteristics作者: 即席 時(shí)間: 2025-3-31 20:55 作者: A精確的 時(shí)間: 2025-4-1 01:01
Computer Assisted Language Testing and the Washback Effect on Language Learning, the preliminary practice of computer assisted spoken English testing, the feedback of teachers and students, and the washback effect on language learning, we may provide some suggestions in order to improve college students’ English abilities and relevant technology of computing test. Therefore, th作者: yohimbine 時(shí)間: 2025-4-1 03:33 作者: Bridle 時(shí)間: 2025-4-1 08:32 作者: 虛假 時(shí)間: 2025-4-1 13:04 作者: archenemy 時(shí)間: 2025-4-1 16:12
Big Data Technology and Applications978-981-10-0457-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
