02140nam a2200289Ia 4500 826097 tz 090917s2016 ne m b l00110 eng d 9780128053942 PIMLIB QA76.9.B45 .B592B Big data : principles and paradigms / edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi. Amsterdam : Elsevier/Morgan Kaufmann, c2016. 52710 xxv, 468 p. : ill. ; 24 cm. New Arrivals-Sep 2017 Includes bibliographical references and index. Big data analysics references and index + cloud computing -- Real-lime Analytics -- Big data Analytics for Social Media -- Deep Learning and ITs Parallelization -- Characterization and Traversal of Large Real-World Networks -- Database Techniques for Big Data -- Resource Management in Big Data Precessing Systems -- Local Resource Comsumption Shaping: A Case MapReduce -- System Optimization for Big Data Precessing -- Packing Algorithms for Big Data Replay on Multicore -- Spatial Privacy Challenge in Social Networks -- Securit and Privacy in Big Data -- Location Inferring in Internet of things and Big Data -- A FFramenetwork fir Mining Thai Public Opinions -- A Case stydy in Big Data Analytics: Exploring Twitter Sentiment Analysis and the Weather -- Dynamic Uncertainty-Base Analytics for Caching Performance Improvements in Mobile Brobrand Wireless Network -- Big Data Analytics on a Smart Grid: Mining PMU Data for Event and Anomaly Detection -- eSicence and Big Data Workflows in Clouds: A Taxonomy an Survey. Big data. 48201 0042 นิเทศศาสตรบัณฑิต วิชาเอกวารสารศาสตร์คอนเวอร์เจนท์และสื่อดิจิทัลสร้างสรรค์ (ป.ตรี) 159 Buyya, Rajkumar, ed. 52711 Calheiros, Rodrigo N., ed. 52712 Dastjerdi, Amir Vahid, ed. 52713 BK 826097 siriporn 826097 826097 0 0 lcc 0 0 BKE PIMLIB PIMLIB GEN-EN 2017-09-09 ลีดเดอร์ แอนด์ รีดเดอร์ 3440.00 0130000039663 13 3 34 QA76.9.B45 .B592B c2016 32550000500557 2023-05-09 3440.00 2023-05-09 BK