An Efficient Data Analysis Framework for Online Security Processing by Jun Li, Yanzhao Liu

“…To address this problem, in this paper we propose a new LCN-Index data security analysis framework for large scalable rules in the industrial cloud. LCN-Index uses the MapReduce computing paradigm to deploy large scale online data analysis rules: in the mapping stage, it divides each attribute into a batch of analysis predicate sets which are then deployed onto a mapping node using interval predicate index. …”
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Risk Intelligence: Making Profit from Uncertainty in Data Processing System by Si Zheng, Xiangke Liao, Xiaodong Liu

“…Proactive fault tolerance scheme (such as the speculative execution in MapReduce framework) is introduced to dramatically improve the response time of job executions when the failure becomes a norm rather than an exception. …”
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Hadoop-Based Painting Resource Storage and Retrieval Platform Construction and Testing by Chenhua Zu

“…This paper adopts Hadoop as the platform and MapReduce as the computing framework and uses Hadoop Distributed Filesystem (HDFS) distributed file system to store massive log data, which solves the storage problem of massive data. …”
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Data Verification of Logical Pk-Anonymization with Big Data Application and Key Generation in Cloud Computing by Sindhe Phani Kumar, R. Anandan

“…Cloud-based informational indexes are used in the proposed framework, which is effective at handling large amounts of data through MapReduce; a parallel data preparation form is obtained; to get all information as new facts that joins after a while, information anonymization techniques to carry out each protection and immoderate information utilization while updating take place; information loss and clean time is reduced for substantial amounts of data. …”
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Audio classification using grasshopper‐ride optimization algorithm‐based support vector machine by Suryabhan Pratap Singh, Umesh Chandra Jaiswal

“…Thus, the study introduces a method that effectively deals with the data from the distributed sources using the map‐reduce framework (MRF). The map and reduce function in MRF aim at feature extraction and audio classification. …”
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Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink by Xiao-Yan Gao, Radhya Sahal, Gui-Xiu Chen, Mohammed H. Khafagy, Fatma A. Omara

“…Although multiway join optimization has been carried out in MapReduce, different design principles (i.e., in-memory Big Data platforms, Flink) are not considered. …”
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A Dynamic Users’ Interest Discovery Model with Distributed Inference Algorithm by Shuo Xu, Qingwei Shi, Xiaodong Qiao, Lijun Zhu, Han Zhang, Hanmin Jung, Seungwoo Lee, Sung-Pil Choi

“…The collapsed Gibbs sampling method following the main idea of MapReduce is also utilized for inferring model parameters. …”
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A P2P Framework for Developing Bioinformatics Applications in Dynamic Cloud Environments by Chun-Hung Richard Lin, Chun-Hao Wen, Ying-Chih Lin, Kuang-Yuan Tung, Rung-Wei Lin, Chun-Yuan Lin

“…Various efforts have been made to address the problems of data discovery and delivery in the cloud framework, but most of them suffer the hindrance by a MapReduce master server to track all available data. …”
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Analysis of the Impact of Big Data on E-Commerce in Cloud Computing Environment by Rongrui Yu, Chunqiong Wu, Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…Secondly, considering the large amount of data in the e-commerce system and the complex calculation of the data mining algorithm, this paper uses MapReduce to realize the parallelization of the data mining algorithm and builds a Hadoop-based commodity recommendation subsystem on this basis. …”
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Dynamic Prediction Research of Silicon Content in Hot Metal Driven by Big Data in Blast Furnace Smelting Process under Hadoop Cloud Platform by Yang Han, Jie Li, Xiao-Lei Yang, Wei-Xing Liu, Yu-Zhu Zhang

“…Firstly, we propose a parallelization scheme to design an SVM solution algorithm based on the MapReduce model under a Hadoop platform to improve the solution speed of the SVM on big data sample sets. …”
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An Efficient Approach to Extract and Store Big Semantic Web Data Using Hadoop and Apache Spark GraphX by Wria Mohammed Salih Mohammed, Alaa Khalil Jumaa

“…Hadoop can store datasets because it can use many hard disks for distributed data clustering; Apache Spark can be used for parallel data processing more efficiently than Hadoop MapReduce because Spark uses memory instead of the hard disk. …”
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On Some Generalizations of Commuting Mappings by Mohammad Ali Alghamdi, Stojan Radenović, Naseer Shahzad

“…It is shown that occasionally JH operators as well as occasionally weakly biased mappings reduce to weakly compatible mappings in the presence of a unique point of coincidence (and a unique common fixed point) of the given maps.…”
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Copolyamide-Based Modified Atmosphere Packaging Attenuates Phenolic Degradation and Maintains Postharvest Quality of <i>Rubus</i> Berries by Hafiz Muhammad Shoaib Shah, Zora Singh, Mahmood Ul Hasan, Eben Afrifa-Yamoah, Andrew Woodward

“…Relatively higher levels of glutathione and ascorbic acid as well as the activities of enzymes involved in the ascorbate-glutathione cycle in MA-packed <i>Rubus</i> berries were also observed. Conversely, MAP reduced the respiration rate and weight loss while maintaining higher postharvest quality attributes in raspberries and blackberries than control fruit. …”
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Network Medicine‐Based Strategy Identifies Maprotiline as a Repurposable Drug by Inhibiting PD‐L1 Expression via Targeting SPOP in Cancer by Saisai Tian, Mengting Xu, Xiangxin Geng, Jiansong Fang, Hanchen Xu, Xinying Xue, Hongmei Hu, Qing Zhang, Dianping Yu, Mengmeng Guo, Hongwei Zhang, Jinyuan Lu, Chengyang Guo, Qun Wang, Sanhong Liu, Weidong Zhang

“…Experimental validation revealed that MAP reduced PD‐L1 expression by targeting E3 ubiquitin ligase speckle‐type zinc finger structural protein (SPOP), and the combination of MAP and anti‐CTLA4 in vivo significantly enhanced the antitumor effect, providing a new alternative for the clinical treatment of colorectal and lung cancer.…”
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Multi-Level Foreground Prompt for Incremental Object Detection by Jianwen Mo, Ronghua Zou, Hua Yuan

“…Second, the feature map output by the teacher model is used as a feature-level prompt, with a feature distillation loss guiding the student model to encode new class foreground information in less significant channels of the old feature map, reducing interference. Lastly, the teacher model&#x2019;s inference output serves as a knowledge-level prompt, and the adaptive select object method is introduced to avoid foreground conflict in traditional knowledge distillation, enhancing the model&#x2019;s plasticity by selectively merging foreground information. …”
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Evidence of Major Structural Features over the Pan-African Domain in the Bertoua-Mbangue Area (East Cameroon) from a Multiscale Approach of Modeling and Interpretation of Aeromagne... by Owono Amougou Olivier Ulrich Igor, Ndougsa Mbarga Theophile, Meying Arsène, Assembe Stephane Patrick, Ngoh Jean Daniel, Ngoumou Paul Claude, Yandjimain Justine

“…The total magnetic intensity map reduced to the equator (RTE-TMI) shows important anomalies features, namely, the Northern East magnetic anomalies of high amplitude, the Southwest where very low values of the magnetic intensity were observed, and a corridor with negative values relatively high, separating the anomalies. …”
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