Sökning: "MapReduce"

Visar resultat 6 - 10 av 33 uppsatser innehållade ordet MapReduce.

  1. 6. Case Representation Methodology for a Scalable Case-Based Reasoning

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Carl Larsson; [2018]
    Nyckelord :Case-Based Reasoning; CBR; Case Representation; MapReduce;

    Sammanfattning : Case-Based Reasoning (CBR) is an Artificial Intelligence (AI) methodology and a growing field of research. CBR uses past experiences to help solve new problems the system faces. To do so CBR is comprised of a few core parts, such as case representation, case library, case retrieval, and case adaptation. LÄS MER

  3. 7. Large Scale ETL Design, Optimization and Implementation Based On Spark and AWS Platform

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Di Zhu; [2017]
    Nyckelord :ETL; Spark; AWS; Large Scale Data Warehouse; ETL; Spark; AWS; Storskaliga datalager;

    Sammanfattning : Nowadays, the amount of data generated by users within an Internet product is increasing exponentially, for instance, clickstream for a website application from millions of users, geospatial information from GIS-based APPs of Android and IPhone, or sensor data from cars or any electronic equipment, etc. All these data may be yielded billions every day, which is not surprisingly essential that insights could be extracted or built. LÄS MER

  4. 8. Platforms for Real-time Moving Object Location Stream Processing

    Master-uppsats, KTH/Geoinformatik

    Författare :Shérazade Gadhoumi; [2017]
    Nyckelord :Data Stream Management Systems; Data mining; Moving point patterns;

    Sammanfattning : Boarder security is usually based on observing and analyzing the movement of MovingPoint Objects (MPOs): vehicle, boats, pedestrian or aircraft for example. This movementanalysis can directly be made by an operator observing the MPOs in real-time, but theprocess is time-consuming and approximate. LÄS MER

  5. 9. BigDataCube: Distributed Multidimensional Data Cube Over Apache Spark : An OLAP framework that brings Multidimensional Data Analysis to modern Distributed Storage Systems

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Pradeep Peiris Weherage; [2017]
    Nyckelord :;

    Sammanfattning : Multidimensional Data Analysis is an important subdivision of Data Analytic paradigm. Data Cube provides the base abstraction for Multidimensional Data Analysis and helps in discovering useful insights of a dataset. LÄS MER

  7. 10. SQL on Hops

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Fabio Buso; [2017]
    Nyckelord :;

    Sammanfattning : In today’s world data is extremely valuable. Companies and researchers store every sort of data, from users activities to medical records. However, data is useless if one cannot extract meaning and insight from it. In 2004 Dean and Ghemawat introduced the MapReduce framework. LÄS MER