N
Nadeem Iftikhar
Researcher at University College of Northern Denmark
Publications - 50
Citations - 445
Nadeem Iftikhar is an academic researcher from University College of Northern Denmark. The author has contributed to research in topics: Data aggregator & XML. The author has an hindex of 10, co-authored 47 publications receiving 367 citations. Previous affiliations of Nadeem Iftikhar include Mohammad Ali Jinnah University & Aalborg University.
Papers
More filters
Proceedings ArticleDOI
Survey of real-time processing systems for big data
TL;DR: A survey of the open source technologies that support big data processing in a real-time/near real- time fashion, including their system architectures and platforms is presented.
Book ChapterDOI
Online Anomaly Energy Consumption Detection Using Lambda Architecture
TL;DR: A supervised learning and statistical-based anomaly detection method, and a Lambda system using the in-memory distributed computing framework, Spark and its extension Spark Streaming are implemented.
Journal ArticleDOI
Flexible exchange of farming device data
TL;DR: This paper presents a bi-directional data exchange solution in the farming business that is based on high-level specifications without any need for hand-coding and supports ISOBUS based bi- directional data exchange as well as efficient requirements change management through a graphical user interface.
Proceedings ArticleDOI
A Prediction-Based Smart Meter Data Generator
TL;DR: A smart meter data generator that can generate realistic energy consumption data by making use of a small real-world data set as seed is proposed that is comprehensively evaluate the efficiency and effectiveness.
Proceedings ArticleDOI
An ETL optimization framework using partitioning and parallelization
Xiufeng Liu,Nadeem Iftikhar +1 more
TL;DR: The experimental results show that the proposed framework can achieve 4.7 times faster than the ordinary ETL dataflows (without using the proposed partitioning and optimization methods), and is comparable to the similar ETL tools.