Urban Computing

18 June 2017

Rheem

18 June 2017

RHEEM is a scalable and easy-to-use system for cross-platform big data analytics. It provides an abstraction on top of existing data processing platforms. It allows users to easily specify their data analytics tasks with easy-to-use interfaces, provides developers with opportunities to optimize performance in different ways, and can run on...

ML4ALL

18 June 2017

ML4all is a machine learning (ML) system that aims at abstracting ML algorithms. It provides an easy-to-use interface purely based on user defined functions (UDFs). Users can express most of their ML tasks via this abstraction. ML4all can also take care of choosing the right Gradient Descent (GD) algorithm to...

Data Curation

18 June 2017

Data Civilizer

18 June 2017

DATA CIVILIZER is collaboration between QCRI and MIT CSAIL to build an end-to-end big data management system to help data scientists (i) quickly discover datasets of interest from large numbers of tables; (ii) link relevant data sets; (iii) compute answers from the disparate data stores that host the discovered data...

Boeing Project

18 June 2017

Bioinformatics Projects

18 June 2017

Rayyan: The Systematic Reviews Web App

15 May 2017

Rayyan is a 100% FREE web application to help systematic review authors perform their job in a quick, easy and enjoyable fashion. Authors create systematic reviews, collaborate on them, maintain them over time and get suggestions for article inclusion. Rayyan also has a mobile app. With this app, you can...

NADEEF - A Commodity Data Cleaning System

15 May 2017

NADEEF (or ‘‘clean’’ in Arabic) is a generalized data cleaning system. Being a commodity data cleaning system, NADEEF aims to be extensible, generic and easy-to-deploy. More can be found here. More information can be found on the github page. A demo page can be accessed from here.

KATARA

15 May 2017

KATARA aims to perform trusted data cleaning by using reliable knowledge bases augmented with crowd sourcing for validation. People Nan Tang: Qatar Computing Research Institute Mourad Ouzzani: Qatar Computing Research Institute Paolo Papotti: Qatar Computing Research Institute Yin Ye: Qatar Computing Research Institute Ihab Ilyas: University of Waterloo Xu Chu:...

Data Forensics with Analytics (DAFNA)

15 May 2017

Our activities in Data Forensics with Analytics (DAFNA) project focuses on truth discovery and veracity of Big Data. The main goal of DAFNA project is to design a scalable and accurate truth discovery system to score the veracity of conflicting information extracted from multiple online sources. Conflicting information, rumors, and...