My minor research in 10 months | Data Stream Analysis with Storm Apache | Frequent Pattern Mining on Item, Itemset | Sep 2014 - July 2015
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Updated
May 9, 2018 - HTML
My minor research in 10 months | Data Stream Analysis with Storm Apache | Frequent Pattern Mining on Item, Itemset | Sep 2014 - July 2015
This repository use some SSL characteristics to perform the classification in Non-Stationary Data Streams.
A service that aggregates amateur radio data worldwide in real time for public use
Implementation of streaming algorithms (Misra-Gries & Lossy Counting) for getting frequent items from data streams.
This project create data stream from mysql using replication protocols and ingest into kafka. You can create event driven system using this.
Azure Stream Analytics processes ATM transaction data streams, employing Event Hub, Storage, and Stream Analytics Job. Queries include total amounts and alerts. The setup and query execution process are documented with screenshots.
Simple yet powerful live data computation framework. C++ port of Scramjet framework.
Python framework for concurrent data flows
Исследование 1. ООП и ФП -> поиск баланса / Case Study 1. OOP & FP -> Finding Balance
The system simulates the VISA-transaction data management for analytics. It must receive data from an input data stream (Main.py) that simulates the real time data arrival. The data must be distributed to two types of clients with different needs
A customizable data stream handler. Features a console and file transport. For those who seek more own stream support that's also possible!
Data stream mining extracts information from large quantities of data flowing fast and continuously (data streams). They are usually affected by changes in the data distribution, giving rise to a phenomenon referred to as concept drift. Thus, learning models must detect and adapt to such changes, so as to exhibit a good predictive performance af…
Project to improve on and implement Rutgers' Degree Navigator. Calculates expected GPA based on credit weighting.
Learn english while watching youtube
A classifier for heterogeneous concept drift inspired in the biologically memory model.
Finding missing k numbers in data stream using symm functions
Schema Registry is a product used for schema management and message validation.
Algorithms proposed in the following paper: OLIVEIRA, Gustavo HFMO et al. Time series forecasting in the presence of concept drift: A pso-based approach. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. p. 239-246.
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