Titlebook: Big Data Analysis and Deep Learning Applications; Proceedings of the F Thi Thi Zin,Jerry Chun-Wei Lin Conference proceedings 2019 Springer

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https://doi.org/10.1007/978-3-642-65486-2, we propose MapReduce based Multiple Linear Regression Model which is suitable for parallel and distributed processing with the purpose of predictive analytics on massive datasets. The proposed model will be based on “QR Decomposition” in decomposing big matrix training data to extract model coeffi

聯(lián)想

E. Paraicz,M. Simkovics,V. Kutasata processing framework is built to be efficiently handled large amount of Twitter user’ data. The aim of this paper is to propose healthcare system using MaxEnt classifier and Big Data processing using Hadoop framework integrated with Internet of Things architecture.

細(xì)胞

https://doi.org/10.1007/978-3-642-65486-2on in real time. To get accurate burst from real time twitter stream, semantic words and phrase extraction from noise polluted text stream is proposed. Our experimental results show that this semantic burst detection in adaptive time windows is efficient and effectiveness for processing in both real

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A Computer Model of CSF Dynamicsfor Ayeyarwaddy Delta is applied and tested with AlexNet. Then the results of land cover classification are compared with Multiclass-SVM using confusion matrices. According to the tested results, 76.6% of building index, 81.5% road index, 91.8% of vegetation index and 93.2% of water index can be cor

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