Drawing
on sociocultural theory, the present study investigated how children in an intensive elementary
level Grade 6 class for English as a second language (ESL) scaffolded each other while carrying
out cooperative learning tasks.
When Heads of State meet today (22 May) and discuss energy policy they will remain silent on one of the key problems in the EU internal electricity market, writes Claude Turmes.
Open Journal of Pediatrics (OJPed) is an international journal dedicated to the latest advancement of Pediatrics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of Pediatrics. All manuscripts must be prepared in English, and are subject to a rigorous and fair peer-review process. Accepted papers will immediately appear online followed by printed hard copy.
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well.
This course is about scalable approaches to processing large amounts of information (terabytes and even petabytes). We focus mostly on MapReduce, which is presently the most accessible and practical means of computing at this scale, but will discuss other approaches as well.
M. Hussain, and N. Weibel. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, page 2126--2133. New York, NY, USA, ACM, (2016)Poster.
A. Maedche, A. Hotho, and M. Wiese. Data Warehousing and Knowledge Discovery, Second International Conference, DaWaK 2000, London, UK, volume 1874 of LNCS, page 258-264. Springer, (2000)
A. Maedche, A. Hotho, and M. Wiese. Data Warehousing and Knowledge Discovery, Second International Conference, DaWaK 2000, London, UK, volume 1874 of LNCS, page 258-264. Springer, (2000)