HyperLogLog and other probabilistic data structures for mining in data streams
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Updated
Dec 3, 2014 - Python
HyperLogLog and other probabilistic data structures for mining in data streams
Real-time data stream classification and knowledge generation engine with no dependencies
Compressed binary data designed for inter-process communication.
A Node.js and JavaScript synchronous data pipeline processing, data sharing and stream processing library. Actionable & Transformable Pipeline data processing.
Barenboim is prepared to tackle with data streaming dependencies in concurrent flows
Data Practicum II
R package for analysis of nonlinear data streams
Event Based Applications [DEPRECATED]
Closed Frequent Itemset Mining in Data Streams
Implementation of Static mining part of "Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach" Information Sciences, Volume 432, March 2018, Pages 278-300
Library to connect to the Azure Event Hub via AMQP 1.0 for the Go programming language (Golang) based on Apache Qpid Proton (an AMQP 1.0 C library)
Twitter based sentiment analysis using JAVA and Hadoop. In this project we are doing the sentiment analysis on twitter data to analyse whether the tweets posted by people are positive or negative or neutral by checking the tweets with the AFFIN dictionary which has a set of 2500 words along with the value of each word ranging from -5 to +5 denot…
My minor research in 10 months | Data Stream Analysis with Storm Apache | Frequent Pattern Mining on Item, Itemset | Sep 2014 - July 2015
Process data flow from different sources and destinations using DBI classes
A curated list of awesome big data frameworks, ressources and other awesomeness.
Offline and online (i.e., real-time) annotated clustering methods for text data.
Repository for the DataHub Workshop, Knowledge Media Institute (KMi, Open University, Milton Keynes, UK) on the 12th of June 2018
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